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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/debug-internal.log

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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/debug.log

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+2026-05-02 20:57:23,439 INFO    MainThread:333 [wandb_setup.py:_flush():81] Current SDK version is 0.25.1
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_setup.py:_flush():81] Configure stats pid to 333
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:setup_run_log_directory():717] Logging user logs to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/logs/debug.log
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/logs/debug-internal.log
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:init():844] calling init triggers
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
+config: {'_wandb': {}}
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:init():892] starting backend
+2026-05-02 20:57:27,196 INFO    MainThread:333 [wandb_init.py:init():895] sending inform_init request
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+2026-05-02 20:57:33,549 INFO    MainThread:333 [wandb_init.py:init():1082] run started, returning control to user process
+2026-05-02 20:57:33,849 INFO    MainThread:333 [wandb_run.py:_config_callback():1403] config_cb None None {'paths': {'base_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd', 'data_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft', 'checkpoint_dir': '/home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl', 'log_dir': '/home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs', 'model_search_dirs': ['/home/fs01/yw2349/jiarui/mathrl_data/models']}, 'distillation': {'num_prompts_per_step': 20, 'num_generations_per_prompt': 1, 'max_rollout_turns': 1, 'max_num_steps': 1000, 'max_num_epochs': 40, 'val_batch_size': 32, 'val_period': 20, 'val_at_start': True, 'val_at_end': True, 'max_val_samples': 200, 'topk_logits_k': 64, 'ema_decay': 1.0, 'rollout_policy': 'teacher', 'seed': 42, 'use_nll_loss': True}, 'loss_fn': {'kl_type': 'forward', 'mixed_kl_weight': 0.5, 'zero_outside_topk': False}, 'checkpointing': {'enabled': True, 'checkpoint_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527', 'metric_name': None, 'higher_is_better': True, 'keep_top_k': None, 'save_period': 20, 'save_per_epoch': False, 'checkpoint_must_save_by': None, 'save_consolidated': False, 'save_optimizer': False, 'model_save_format': 'safetensors'}, 'policy': {'model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'tokenizer': {'name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'chat_template_kwargs': {'enable_thinking': False}}, 'train_global_batch_size': 20, 'train_micro_batch_size': 1, 'generation_batch_size': 20, 'logprob_batch_size': 1, 'max_total_sequence_length': 10000, 'precision': 'bfloat16', 'logprob_chunk_size': None, 'offload_optimizer_for_logprob': False, 'dtensor_cfg': {'enabled': True, '_v2': True, 'cpu_offload': True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 3e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 0.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': [128009], 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None, 'load_format': 'dummy', 'skip_tokenizer_init': True}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}, '_pad_token_id': 128009}}, 'teacher': {'model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'tokenizer': {'name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'chat_template_kwargs': {'enable_thinking': False}}, 'train_global_batch_size': 16, 'train_micro_batch_size': 1, 'generation_batch_size': 16, 'logprob_batch_size': 1, 'max_total_sequence_length': 10000, 'precision': 'bfloat16', 'logprob_chunk_size': None, 'offload_optimizer_for_logprob': False, 'dtensor_cfg': {'enabled': True, '_v2': True, 'cpu_offload': True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 1e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 1.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': None, 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}}}, 'data': {'max_input_seq_length': 10000, 'shuffle': True, 'train': [{'dataset_name': 'knowledge_opsd', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}], 'validation': [{'dataset_name': 'knowledge_opsd_val', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}, {'dataset_name': 'knowledge_opsd_comp_val', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}], 'default': {'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}}, 'env': {'knowledge': {'num_workers': 8}}, 'logger': {'log_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001', 'num_val_samples_to_print': 5, 'wandb_enabled': True, 'tensorboard_enabled': True, 'mlflow_enabled': False, 'swanlab_enabled': False, 'monitor_gpus': True, 'wandb': {'project': 'mix-teachers-opsd', 'entity': 'mathrl-jiarui', 'name': 'offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct'}, 'tensorboard': {'log_dir': 'tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0'}, 'gpu_monitoring': {'collection_interval': 10, 'flush_interval': 10}}, 'cluster': {'gpus_per_node': 4, 'num_nodes': 1}}
+2026-05-02 20:58:40,528 INFO    wandb-AsyncioManager-main:333 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-02 20:58:40,529 INFO    wandb-AsyncioManager-main:333 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.25.1
+        e:
+            32brb5v6lt6k0iojb0l54zcuvp6feoxm:
+                args:
+                    - --config
+                    - /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/opsd_distillation_config.yaml
+                    - policy.model_name=/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+                    - policy.dtensor_cfg.tensor_parallel_size=4
+                    - policy.dtensor_cfg.context_parallel_size=1
+                    - policy.max_total_sequence_length=10000
+                    - policy.generation.max_new_tokens=8192
+                    - policy.generation.vllm_cfg.tensor_parallel_size=4
+                    - policy.generation.vllm_cfg.gpu_memory_utilization=0.7
+                    - policy.logprob_batch_size=1
+                    - policy.dtensor_cfg.cpu_offload=true
+                    - policy.dtensor_cfg.activation_checkpointing=true
+                    - paths.base_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd
+                    - paths.data_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft
+                    - checkpointing.checkpoint_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527
+                    - logger.log_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs
+                    - logger.wandb.project=mix-teachers-opsd
+                    - logger.wandb.name=offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct
+                    - logger.tensorboard.log_dir=tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0
+                    - cluster.gpus_per_node=4
+                    - cluster.num_nodes=1
+                    - loss_fn.kl_type=forward
+                    - loss_fn.zero_outside_topk=false
+                    - distillation.ema_decay=1.0
+                    - distillation.topk_logits_k=64
+                    - distillation.num_prompts_per_step=20
+                    - distillation.num_generations_per_prompt=1
+                    - distillation.rollout_policy=teacher
+                    - +distillation.use_nll_loss=true
+                    - distillation.val_period=20
+                    - distillation.max_num_epochs=40
+                    - checkpointing.save_per_epoch=false
+                    - checkpointing.save_period=20
+                    - checkpointing.save_optimizer=false
+                    - checkpointing.keep_top_k=null
+                    - checkpointing.metric_name=null
+                    - policy.train_global_batch_size=20
+                    - policy.generation_batch_size=20
+                    - policy.generation.temperature=0.0
+                    - policy.optimizer.kwargs.lr=3.0e-5
+                    - policy.optimizer.kwargs.weight_decay=0.01
+                    - 'policy.scheduler=[{name: "torch.optim.lr_scheduler.ConstantLR", kwargs: {factor: 1.0, total_iters: 10000000000}}, {milestones: []}]'
+                codePath: mix_teachers/train/knowledge_opsd/run_opsd.py
+                codePathLocal: run_opsd.py
+                cpu_count: 120
+                cpu_count_logical: 120
+                disk:
+                    /:
+                        total: "511749718016"
+                        used: "24012206080"
+                email: jiaruil5@andrew.cmu.edu
+                executable: /home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3
+                git:
+                    commit: 9938bfa2b66c98512427baa8c5adbea81dbf6dc8
+                    remote: https://github.com/jiarui-liu/TeacherMix.git
+                host: b0020
+                memory:
+                    total: "1081436749824"
+                os: Linux-4.18.0-477.27.1.el8_8.x86_64-x86_64-with-glibc2.28
+                program: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py
+                python: CPython 3.11.15
+                root: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb
+                startedAt: "2026-05-02T11:57:23.431515Z"
+                writerId: 32brb5v6lt6k0iojb0l54zcuvp6feoxm
+        m:
+            - "2": ray/*
+              "5": 2
+              "6":
+                - 1
+              "7": []
+            - "1": ray/ray_step
+              "6": []
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
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+            "2":
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+                - 71
+            "3":
+                - 7
+                - 13
+                - 41
+            "4": 3.11.15
+            "5": 0.25.1
+            "6": 4.57.1
+            "12": 0.25.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527
+        checkpoint_must_save_by: null
+        enabled: true
+        higher_is_better: true
+        keep_top_k: null
+        metric_name: null
+        model_save_format: safetensors
+        save_consolidated: false
+        save_optimizer: false
+        save_per_epoch: false
+        save_period: 20
+cluster:
+    value:
+        gpus_per_node: 4
+        num_nodes: 1
+data:
+    value:
+        default:
+            env_name: knowledge
+            prompt_file: null
+            system_prompt_file: null
+        max_input_seq_length: 10000
+        shuffle: true
+        train:
+            - dataset_name: knowledge_opsd
+              env_name: knowledge
+              processor: knowledge_opsd
+              prompt_file: null
+              system_prompt_file: null
+        validation:
+            - dataset_name: knowledge_opsd_val
+              env_name: knowledge
+              processor: knowledge_opsd
+              prompt_file: null
+              system_prompt_file: null
+            - dataset_name: knowledge_opsd_comp_val
+              env_name: knowledge
+              processor: knowledge_opsd
+              prompt_file: null
+              system_prompt_file: null
+distillation:
+    value:
+        ema_decay: 1
+        max_num_epochs: 40
+        max_num_steps: 1000
+        max_rollout_turns: 1
+        max_val_samples: 200
+        num_generations_per_prompt: 1
+        num_prompts_per_step: 20
+        rollout_policy: teacher
+        seed: 42
+        topk_logits_k: 64
+        use_nll_loss: true
+        val_at_end: true
+        val_at_start: true
+        val_batch_size: 32
+        val_period: 20
+env:
+    value:
+        knowledge:
+            num_workers: 8
+logger:
+    value:
+        gpu_monitoring:
+            collection_interval: 10
+            flush_interval: 10
+        log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001
+        mlflow_enabled: false
+        monitor_gpus: true
+        num_val_samples_to_print: 5
+        swanlab_enabled: false
+        tensorboard:
+            log_dir: tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0
+        tensorboard_enabled: true
+        wandb:
+            entity: mathrl-jiarui
+            name: offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct
+            project: mix-teachers-opsd
+        wandb_enabled: true
+loss_fn:
+    value:
+        kl_type: forward
+        mixed_kl_weight: 0.5
+        zero_outside_topk: false
+paths:
+    value:
+        base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd
+        checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl
+        data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft
+        log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs
+        model_search_dirs:
+            - /home/fs01/yw2349/jiarui/mathrl_data/models
+policy:
+    value:
+        dtensor_cfg:
+            _v2: true
+            activation_checkpointing: true
+            context_parallel_size: 1
+            cpu_offload: true
+            custom_parallel_plan: null
+            enabled: true
+            sequence_parallel: false
+            tensor_parallel_size: 4
+        dynamic_batching:
+            enabled: true
+            logprob_mb_tokens: 10000
+            sequence_length_round: 64
+            train_mb_tokens: 10000
+        generation:
+            _pad_token_id: 128009
+            backend: vllm
+            colocated:
+                enabled: true
+                resources:
+                    gpus_per_node: null
+                    num_nodes: null
+            max_new_tokens: 8192
+            stop_strings: null
+            stop_token_ids:
+                - 128009
+            temperature: 0
+            top_k: null
+            top_p: 1
+            vllm_cfg:
+                async_engine: false
+                distributed_executor_backend: null
+                enforce_eager: false
+                expert_parallel_size: 1
+                gpu_memory_utilization: 0.7
+                kv_cache_dtype: auto
+                load_format: dummy
+                max_model_len: 10000
+                num_first_layers_in_bf16: 0
+                num_last_layers_in_bf16: 0
+                pipeline_parallel_size: 1
+                precision: bfloat16
+                skip_tokenizer_init: true
+                tensor_parallel_size: 4
+                use_deep_gemm: false
+        generation_batch_size: 20
+        logprob_batch_size: 1
+        logprob_chunk_size: null
+        make_sequence_length_divisible_by: 8
+        max_grad_norm: 1
+        max_total_sequence_length: 10000
+        megatron_cfg:
+            enabled: false
+        model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+        offload_optimizer_for_logprob: false
+        optimizer:
+            kwargs:
+                betas:
+                    - 0.9
+                    - 0.95
+                eps: 1e-08
+                foreach: false
+                fused: false
+                lr: 3e-05
+                weight_decay: 0.01
+            name: torch.optim.AdamW
+        precision: bfloat16
+        scheduler:
+            - kwargs:
+                factor: 1
+                total_iters: 10000000000
+              name: torch.optim.lr_scheduler.ConstantLR
+            - milestones: []
+        sequence_packing:
+            algorithm: modified_first_fit_decreasing
+            enabled: false
+            logprob_mb_tokens: 10000
+            sequence_length_round: 64
+            train_mb_tokens: 10000
+        tokenizer:
+            chat_template_kwargs:
+                enable_thinking: false
+            name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+        train_global_batch_size: 20
+        train_micro_batch_size: 1
+teacher:
+    value:
+        dtensor_cfg:
+            _v2: true
+            activation_checkpointing: true
+            context_parallel_size: 1
+            cpu_offload: true
+            custom_parallel_plan: null
+            enabled: true
+            sequence_parallel: false
+            tensor_parallel_size: 4
+        dynamic_batching:
+            enabled: true
+            logprob_mb_tokens: 10000
+            sequence_length_round: 64
+            train_mb_tokens: 10000
+        generation:
+            backend: vllm
+            colocated:
+                enabled: true
+                resources:
+                    gpus_per_node: null
+                    num_nodes: null
+            max_new_tokens: 8192
+            stop_strings: null
+            stop_token_ids: null
+            temperature: 1
+            top_k: null
+            top_p: 1
+            vllm_cfg:
+                async_engine: false
+                distributed_executor_backend: null
+                enforce_eager: false
+                expert_parallel_size: 1
+                gpu_memory_utilization: 0.7
+                kv_cache_dtype: auto
+                max_model_len: 10000
+                num_first_layers_in_bf16: 0
+                num_last_layers_in_bf16: 0
+                pipeline_parallel_size: 1
+                precision: bfloat16
+                tensor_parallel_size: 4
+                use_deep_gemm: false
+        generation_batch_size: 16
+        logprob_batch_size: 1
+        logprob_chunk_size: null
+        make_sequence_length_divisible_by: 8
+        max_grad_norm: 1
+        max_total_sequence_length: 10000
+        megatron_cfg:
+            enabled: false
+        model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+        offload_optimizer_for_logprob: false
+        optimizer:
+            kwargs:
+                betas:
+                    - 0.9
+                    - 0.95
+                eps: 1e-08
+                foreach: false
+                fused: false
+                lr: 1e-05
+                weight_decay: 0.01
+            name: torch.optim.AdamW
+        precision: bfloat16
+        scheduler:
+            - kwargs:
+                factor: 1
+                total_iters: 10000000000
+              name: torch.optim.lr_scheduler.ConstantLR
+            - milestones: []
+        sequence_packing:
+            algorithm: modified_first_fit_decreasing
+            enabled: false
+            logprob_mb_tokens: 10000
+            sequence_length_round: 64
+            train_mb_tokens: 10000
+        tokenizer:
+            chat_template_kwargs:
+                enable_thinking: false
+            name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+        train_global_batch_size: 16
+        train_micro_batch_size: 1

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/files/output.log

@@ -0,0 +1,647 @@
+Unexpected error during git code logging: Artifact type 'code' is reserved for internal use. Please use a different type.
+No uncommitted changes found
+Error during git operations: Command '['git', 'diff', 'main']' returned non-zero exit status 128.
+Initialized WandbLogger for project mix-teachers-opsd, run offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct at /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb
+Initialized TensorboardLogger at /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/tensorboard
+GPU monitoring started with collection interval=10s, flush interval=10s
+  ✓ Training dataloader loaded with 100 samples
+  ✓ Validation dataloader loaded with 193 samples
+
+▶ Setting up compute cluster...
+  ✓ Ray cluster initialized with 1 nodes
+Initializing vllm_policy workers: 100%|██████████| 4/4 [00:12<00:00,  3.11s/worker]
+(IsolatedWorkerInitializer pid=9610) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(IsolatedWorkerInitializer pid=9608) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(IsolatedWorkerInitializer pid=9611) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(IsolatedWorkerInitializer pid=9609) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+  ✓ 4 workers initialized in 12.46s
+(pid=10000) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(pid=10001) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(pid=10002) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(pid=9999) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(VllmGenerationWorker pid=10000) VLLM_RAY_BUNDLE_INDICES environment variable set to: 0,1,2,3
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [utils.py:253] non-default args: {'served_model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'skip_tokenizer_init': True, 'trust_remote_code': True, 'load_format': 'dummy', 'dtype': 'bfloat16', 'seed': 0, 'max_model_len': 10000, 'distributed_executor_backend': 'ray', 'tensor_parallel_size': 4, 'enable_prefix_caching': True, 'gpu_memory_utilization': 0.7, 'logprobs_mode': 'processed_logprobs', 'worker_extension_cls': 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension', 'enable_sleep_mode': True, 'model': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct'}
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [model.py:631] Resolved architecture: LlamaForCausalLM
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [model.py:1745] Using max model len 10000
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [arg_utils.py:1443] Using ray runtime env (env vars redacted): {'py_executable': '/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3', 'env_vars': {'AI_AGENT': '***', 'AVAILABLE_ADDR_LIST': '***', 'AVAILABLE_PORT_LIST': '***', 'BASH_FUNC__module_raw%%': '***', 'BASH_FUNC_ml%%': '***', 'BASH_FUNC_module%%': '***', 'BASH_FUNC_scl%%': '***', 'BASH_FUNC_switchml%%': '***', 'BASH_FUNC_which%%': '***', 'CLAUDECODE': '***', 'CLAUDE_CODE_ENTRYPOINT': '***', 'CLAUDE_CODE_EXECPATH': '***', 'CONDA_DEFAULT_ENV': '***', 'CONDA_EXE': '***', 'CONDA_PREFIX': '***', 'CONDA_PREFIX_1': '***', 'CONDA_PROMPT_MODIFIER': '***', 'CONDA_PYTHON_EXE': '***', 'CONDA_SHLVL': '***', 'COREPACK_ENABLE_AUTO_PIN': '***', 'CPATH': '***', 'CPATH_modshare': '***', 'CUDA_DIR': '***', 'CUDA_HOME': '***', 'CUDA_INSTALL_PATH': '***', 'CUDA_MPS_LOG_DIRECTORY': '***', 'CUDA_MPS_PIPE_DIRECTORY': '***', 'CUDA_PATH': '***', 'CUDA_TOP': '***', 'CYCLECLOUD_BOOTSTRAP': '***', 'CYCLECLOUD_HOME': '***', 'C_INCLUDE_PATH': '***', 'C_INCLUDE_PATH_modshare': '***', 'DBUS_SESSION_BUS_ADDRESS': '***', 'DISPLAY': '***', 'FJPNCKPT_CONFIG': '***', 'GDK_BACKEND': '***', 'GENKAI_CACHE_DIR': '***', 'GENKAI_CUDA_NAME': '***', 'GENKAI_CUDA_VER': '***', 'GENKAI_FAST_DIR': '***', 'GIT_EDITOR': '***', 'GLOBUS_GSSAPI_NAME_COMPATIBILITY': '***', 'HF_TOKEN': '***', 'HISTCONTROL': '***', 'HISTSIZE': '***', 'HOME': '***', 'HOSTNAME': '***', 'HYDRA_FULL_ERROR': '***', 'JOBID': '***', 'KMP_DUPLICATE_LIB_OK': '***', 'KMP_INIT_AT_FORK': '***', 'LANG': '***', 'LD_LIBRARY_PATH': '***', 'LD_LIBRARY_PATH_modshare': '***', 'LESSOPEN': '***', 'LIBRARY_PATH': '***', 'LIBRARY_PATH_modshare': '***', 'LOADEDMODULES': '***', 'LOADEDMODULES_modshare': '***', 'LOCAL_RANK': '***', 'LOGNAME': '***', 'LS_COLORS': '***', 'LUSTRE_JOBSTAT': '***', 'MAIL': '***', 'MANPATH': '***', 'MASTER_ADDR': '***', 'MASTER_PORT': '***', 'MATHEMATICA_HOME': '***', 'MIG_PARTED_CHECKPOINT_FILE': '***', 'MIG_PARTED_CONFIG_FILE': '***', 'MIG_PARTED_HOOKS_FILE': '***', 'MODULEPATH': '***', 'MODULEPATH_modshare': '***', 'MODULESHOME': '***', 'MODULES_CMD': '***', 'MODULES_LMCONFLICT': '***', 'MODULES_LMCONFLICT_modshare': '***', 'MODULES_RUN_QUARANTINE': '***', 'MOD_GIT_ROOTDIR': '***', 'NCCL_ASYNC_ERROR_HANDLING': '***', 'NCCL_DEBUG': '***', 'NCCL_SHM_USE_CUDA_MEMCPY': '***', 'NCCL_TIMEOUT': '***', 'NEMO_RL_PY_EXECUTABLES_SYSTEM': '***', 'NEMO_RL_VENV_DIR': '***', 'NODE_RANK': '***', 'NoDefaultCurrentDirectoryInExePath': '***', 'OLDPWD': '***', 'OMPI_CKPTCONFIG': '***', 'OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE': '***', 'PATH': '***', 'PATH_modshare': '***', 'PJM_ASSIGN_LOGICAL_CPU': '***', 'PJM_CORE_MEM_LIMIT': '***', 'PJM_CUSTOM_RESOURCES': '***', 'PJM_DPREFIX': '***', 'PJM_ELAPSED_TIME_MODE': '***', 'PJM_ELAPSE_LIMIT': '***', 'PJM_ENVIRONMENT': '***', 'PJM_JOBDIR': '***', 'PJM_JOBID': '***', 'PJM_JOBNAME': '***', 'PJM_MAILOPTION': '***', 'PJM_MPI_PROC': '***', 'PJM_NET_ROUTE': '***', 'PJM_NODE': '***', 'PJM_NODE_CPUTIME_LIMIT': '***', 'PJM_O_HOME': '***', 'PJM_O_HOST': '***', 'PJM_O_LANG': '***', 'PJM_O_LOGNAME': '***', 'PJM_O_MAIL': '***', 'PJM_O_NODEINF': '***', 'PJM_O_PATH': '***', 'PJM_O_SHELL': '***', 'PJM_O_WORKDIR': '***', 'PJM_PROC_BY_NODE': '***', 'PJM_RSCGRP': '***', 'PJM_RSCUNIT': '***', 'PJM_SHELL': '***', 'PJM_SSD_DIR': '***', 'PJM_STDERR_PATH': '***', 'PJM_STDOUT_PATH': '***', 'PJM_SUBJOBID': '***', 'PJM_VNODE_MEM_LIMIT': '***', 'PLE_SCRIPT_TYPE': '***', 'PWD': '***', 'PYTHONBREAKPOINT': '***', 'PYTHONPATH': '***', 'PYTHONUNBUFFERED': '***', 'RANK': '***', 'RAY_CLIENT_MODE': '***', 'RAY_DEDUP_LOGS': '***', 'RAY_ENABLE_UV_RUN_RUNTIME_ENV': '***', 'RAY_EXPERIMENTAL_NOSET_CUDA_VISIBLE_DEVICES': '***', 'RAY_TMPDIR': '***', 'RAY_USAGE_STATS_ENABLED': '***', 'RAY_memory_monitor_refresh_ms': '***', 'RAY_worker_heartbeat_timeout_milliseconds': '***', 'RAY_worker_register_timeout_seconds': '***', 'SHLVL': '***', 'SSH_ASKPASS': '***', 'SSH_CLIENT': '***', 'SSH_CONNECTION': '***', 'SSH_TTY': '***', 'SWANLAB_API_HOST': '***', 'SWANLAB_RUNTIME': '***'
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [scheduler.py:216] Chunked prefill is enabled with max_num_batched_tokens=16384.
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [core.py:93] Initializing a V1 LLM engine (v0.11.2) with config: model='/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', skip_tokenizer_init=True, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=10000, download_dir=None, load_format=dummy, tensor_parallel_size=4, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer'], 'compile_mm_encoder': False, 'use_inductor': None, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_cudagraph_capture_size': 512, 'local_cache_dir': None}
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [ray_utils.py:343] Ray is already initialized. Skipping Ray initialization.
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [ray_utils.py:374] Using the existing placement group
+(VllmGenerationWorker pid=10000) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:19 [ray_env.py:66] RAY_NON_CARRY_OVER_ENV_VARS from config: set()
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:19 [ray_env.py:69] Copying the following environment variables to workers: ['VLLM_CACHE_ROOT', 'VLLM_RAY_PER_WORKER_GPUS', 'VLLM_SKIP_P2P_CHECK', 'VLLM_RAY_BUNDLE_INDICES', 'RAY_ENABLE_UV_RUN_RUNTIME_ENV', 'VLLM_ALLOW_INSECURE_SERIALIZATION', 'VLLM_ENABLE_V1_MULTIPROCESSING', 'HF_TOKEN', 'LD_LIBRARY_PATH', 'CUDA_HOME']
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:19 [ray_env.py:74] If certain env vars should NOT be copied, add them to /home/pj24003162/ku40003404/.config/vllm/ray_non_carry_over_env_vars.json file
+(RayWorkerWrapper pid=10528) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10526) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10529) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10527) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10528) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10528) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10526) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10526) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10529) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10529) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10527) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10527) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10528) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=0 local_rank=0 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10526) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=1 local_rank=1 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10529) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=2 local_rank=2 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10527) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=3 local_rank=3 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10528) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10526) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10529) [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10527) [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10528) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10526) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10529) [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10527) [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10528) INFO 05-02 20:58:33 [pynccl.py:111] vLLM is using nccl==2.27.5
+(RayWorkerWrapper pid=10528) NCCL version 2.27.5+cuda12.9
+(RayWorkerWrapper pid=10528) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10526) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10529) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10527) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     buffer_io = MessageQueue(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]                 ^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     self.local_socket.bind(local_subscribe_addr)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     super().bind(addr)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342] zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:37 [ray_executor.py:121] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray.
+(VllmGenerationWorker pid=10000) Exception raised in creation task: The actor died because of an error raised in its creation task, ray::vllm_policy-grp0-0:VllmGenerationWorker.__init__() (pid=10000, ip=172.16.17.20, actor_id=d3cc3fb85b11899b90f73a3a01000000, repr=VllmGenerationWorker)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 462, in __init__
+(VllmGenerationWorker pid=10000)     self._create_engine(llm_kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 579, in _create_engine
+(VllmGenerationWorker pid=10000)     self.llm = vllm.LLM(**llm_kwargs)
+(VllmGenerationWorker pid=10000)                ^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/entrypoints/llm.py", line 343, in __init__
+(VllmGenerationWorker pid=10000)     self.llm_engine = LLMEngine.from_engine_args(
+(VllmGenerationWorker pid=10000)                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 174, in from_engine_args
+(VllmGenerationWorker pid=10000)     return cls(
+(VllmGenerationWorker pid=10000)            ^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 108, in __init__
+(VllmGenerationWorker pid=10000)     self.engine_core = EngineCoreClient.make_client(
+(VllmGenerationWorker pid=10000)                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 95, in make_client
+(VllmGenerationWorker pid=10000)     return InprocClient(vllm_config, executor_class, log_stats)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 264, in __init__
+(VllmGenerationWorker pid=10000)     self.engine_core = EngineCore(*args, **kwargs)
+(VllmGenerationWorker pid=10000)                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 102, in __init__
+(VllmGenerationWorker pid=10000)     self.model_executor = executor_class(vllm_config)
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 101, in __init__
+(VllmGenerationWorker pid=10000)     self._init_executor()
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 97, in _init_executor
+(VllmGenerationWorker pid=10000)     self._init_workers_ray(placement_group, runtime_env={"py_executable": "/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3"})
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 370, in _init_workers_ray
+(VllmGenerationWorker pid=10000)     self.collective_rpc("init_device")
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 493, in collective_rpc
+(VllmGenerationWorker pid=10000)     return ray.get(ray_worker_outputs, timeout=timeout)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)                                   ^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000) ray.exceptions.RayTaskError(ZMQError): ray::RayWorkerWrapper.execute_method() (pid=10528, ip=172.16.17.20, actor_id=c3ccdf29f53c2678b6392c4f01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1455ad99e590>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+(VllmGenerationWorker pid=10000)     buffer_io = MessageQueue(
+(VllmGenerationWorker pid=10000)                 ^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+(VllmGenerationWorker pid=10000)     self.local_socket.bind(local_subscribe_addr)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+(VllmGenerationWorker pid=10000)     super().bind(addr)
+(VllmGenerationWorker pid=10000)   File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+(VllmGenerationWorker pid=10000) zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')
+(RayWorkerWrapper pid=10528) [rank0]:[W502 20:58:38.243160297 ProcessGroupNCCL.cpp:1524] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+(VllmGenerationWorker pid=10000) Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::RayWorkerWrapper.execute_method() (pid=10529, ip=172.16.17.20, actor_id=443a592620a382987761abf401000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x14b94939c210>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(VllmGenerationWorker pid=10000)     dist.broadcast_object_list(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(VllmGenerationWorker pid=10000)     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(VllmGenerationWorker pid=10000)     work.wait()
+(VllmGenerationWorker pid=10000) RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(VllmGenerationWorker pid=10000) Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::RayWorkerWrapper.execute_method() (pid=10526, ip=172.16.17.20, actor_id=be7ad8a3edbad58a1e7c83ed01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1437c91e3a10>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(VllmGenerationWorker pid=10000)     dist.broadcast_object_list(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(VllmGenerationWorker pid=10000)     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(VllmGenerationWorker pid=10000)     work.wait()
+(VllmGenerationWorker pid=10000) RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     dist.broadcast_object_list(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     work.wait()
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342] RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     dist.broadcast_object_list(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     work.wait()
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342] RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(VllmGenerationWorker pid=10000) Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::RayWorkerWrapper.execute_method() (pid=10527, ip=172.16.17.20, actor_id=d324d052c5833c826e3ca1b201000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x14a30e39d4d0>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(VllmGenerationWorker pid=10000)     dist.broadcast_object_list(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(VllmGenerationWorker pid=10000)     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(VllmGenerationWorker pid=10000)     work.wait()
+(VllmGenerationWorker pid=10000) RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:46216
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     dist.broadcast_object_list(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     work.wait()
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342] RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:46216
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 205, in <module>
+    main()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 193, in main
+    run_opsd_training(
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/math_operations_opsd/opsd_common.py", line 394, in run_opsd_training
+    ) = setup(config, tokenizer, dataset, val_dataset)
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/algorithms/self_distillation.py", line 1038, in setup
+    student_generation = VllmGeneration(
+                         ^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 235, in __init__
+    self._post_init()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 433, in _post_init
+    results = ray.get(futures)
+              ^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/client_mode_hook.py", line 104, in wrapper
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 2981, in get
+    values, debugger_breakpoint = worker.get_objects(
+                                  ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 1014, in get_objects
+    raise value
+ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::vllm_policy-grp0-0:VllmGenerationWorker.__init__() (pid=10000, ip=172.16.17.20, actor_id=d3cc3fb85b11899b90f73a3a01000000, repr=VllmGenerationWorker)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 462, in __init__
+    self._create_engine(llm_kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 579, in _create_engine
+    self.llm = vllm.LLM(**llm_kwargs)
+               ^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/entrypoints/llm.py", line 343, in __init__
+    self.llm_engine = LLMEngine.from_engine_args(
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 174, in from_engine_args
+    return cls(
+           ^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 108, in __init__
+    self.engine_core = EngineCoreClient.make_client(
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 95, in make_client
+    return InprocClient(vllm_config, executor_class, log_stats)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 264, in __init__
+    self.engine_core = EngineCore(*args, **kwargs)
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 102, in __init__
+    self.model_executor = executor_class(vllm_config)
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 101, in __init__
+    self._init_executor()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 97, in _init_executor
+    self._init_workers_ray(placement_group, runtime_env={"py_executable": "/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3"})
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 370, in _init_workers_ray
+    self.collective_rpc("init_device")
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 493, in collective_rpc
+    return ray.get(ray_worker_outputs, timeout=timeout)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^
+                                  ^^^^^^^^^^^^^^^^^^^
+ray.exceptions.RayTaskError(ZMQError): ray::RayWorkerWrapper.execute_method() (pid=10528, ip=172.16.17.20, actor_id=c3ccdf29f53c2678b6392c4f01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1455ad99e590>)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+    raise e
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+    return run_method(self, method, args, kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+    self.worker.init_device()  # type: ignore
+    ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+    init_worker_distributed_environment(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+    ensure_model_parallel_initialized(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+    initialize_model_parallel(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+    _TP = init_model_parallel_group(
+          ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+    return GroupCoordinator(
+           ^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+    self.mq_broadcaster = MessageQueue.create_from_process_group(
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+    buffer_io = MessageQueue(
+                ^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+    self.local_socket.bind(local_subscribe_addr)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+    super().bind(addr)
+  File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 205, in <module>
+    main()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 193, in main
+    run_opsd_training(
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/math_operations_opsd/opsd_common.py", line 394, in run_opsd_training
+    ) = setup(config, tokenizer, dataset, val_dataset)
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/algorithms/self_distillation.py", line 1038, in setup
+    student_generation = VllmGeneration(
+                         ^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 235, in __init__
+    self._post_init()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 433, in _post_init
+    results = ray.get(futures)
+              ^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/client_mode_hook.py", line 104, in wrapper
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 2981, in get
+    values, debugger_breakpoint = worker.get_objects(
+                                  ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 1014, in get_objects
+    raise value
+ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::vllm_policy-grp0-0:VllmGenerationWorker.__init__() (pid=10000, ip=172.16.17.20, actor_id=d3cc3fb85b11899b90f73a3a01000000, repr=VllmGenerationWorker)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 462, in __init__
+    self._create_engine(llm_kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 579, in _create_engine
+    self.llm = vllm.LLM(**llm_kwargs)
+               ^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/entrypoints/llm.py", line 343, in __init__
+    self.llm_engine = LLMEngine.from_engine_args(
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 174, in from_engine_args
+    return cls(
+           ^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 108, in __init__
+    self.engine_core = EngineCoreClient.make_client(
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 95, in make_client
+    return InprocClient(vllm_config, executor_class, log_stats)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 264, in __init__
+    self.engine_core = EngineCore(*args, **kwargs)
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 102, in __init__
+    self.model_executor = executor_class(vllm_config)
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 101, in __init__
+    self._init_executor()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 97, in _init_executor
+    self._init_workers_ray(placement_group, runtime_env={"py_executable": "/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3"})
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 370, in _init_workers_ray
+    self.collective_rpc("init_device")
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 493, in collective_rpc
+    return ray.get(ray_worker_outputs, timeout=timeout)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^
+                                  ^^^^^^^^^^^^^^^^^^^
+ray.exceptions.RayTaskError(ZMQError): ray::RayWorkerWrapper.execute_method() (pid=10528, ip=172.16.17.20, actor_id=c3ccdf29f53c2678b6392c4f01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1455ad99e590>)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+    raise e
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+    return run_method(self, method, args, kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+    self.worker.init_device()  # type: ignore
+    ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+    init_worker_distributed_environment(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+    ensure_model_parallel_initialized(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+    initialize_model_parallel(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+    _TP = init_model_parallel_group(
+          ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+    return GroupCoordinator(
+           ^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+    self.mq_broadcaster = MessageQueue.create_from_process_group(
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+    buffer_io = MessageQueue(
+                ^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+    self.local_socket.bind(local_subscribe_addr)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+    super().bind(addr)
+  File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/files/requirements.txt

@@ -0,0 +1,290 @@
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+google-api-core==2.30.3
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+mlflow-skinny==3.11.1
+python-multipart==0.0.27
+lark==1.2.2
+python-dotenv==1.2.2
+huggingface_hub==0.36.2
+cupy-cuda12x==14.0.1
+openai-harmony==0.0.8
+math-verify==0.9.0
+pyasn1_modules==0.4.2
+Mako==1.3.12
+email-validator==2.3.0
+pyparsing==3.3.2
+xformers==0.0.33.post1
+nvidia-nvjitlink-cu12==12.8.93
+dill==0.4.1
+graphql-core==3.2.8
+graphql-relay==3.2.0
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+sentencepiece==0.2.1
+msgpack==1.1.2
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+protobuf==6.33.6
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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/files/wandb-metadata.json

@@ -0,0 +1,72 @@
+{
+  "os": "Linux-4.18.0-477.27.1.el8_8.x86_64-x86_64-with-glibc2.28",
+  "python": "CPython 3.11.15",
+  "startedAt": "2026-05-02T11:57:23.431515Z",
+  "args": [
+    "--config",
+    "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/opsd_distillation_config.yaml",
+    "policy.model_name=/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct",
+    "policy.dtensor_cfg.tensor_parallel_size=4",
+    "policy.dtensor_cfg.context_parallel_size=1",
+    "policy.max_total_sequence_length=10000",
+    "policy.generation.max_new_tokens=8192",
+    "policy.generation.vllm_cfg.tensor_parallel_size=4",
+    "policy.generation.vllm_cfg.gpu_memory_utilization=0.7",
+    "policy.logprob_batch_size=1",
+    "policy.dtensor_cfg.cpu_offload=true",
+    "policy.dtensor_cfg.activation_checkpointing=true",
+    "paths.base_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd",
+    "paths.data_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft",
+    "checkpointing.checkpoint_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527",
+    "logger.log_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs",
+    "logger.wandb.project=mix-teachers-opsd",
+    "logger.wandb.name=offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct",
+    "logger.tensorboard.log_dir=tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0",
+    "cluster.gpus_per_node=4",
+    "cluster.num_nodes=1",
+    "loss_fn.kl_type=forward",
+    "loss_fn.zero_outside_topk=false",
+    "distillation.ema_decay=1.0",
+    "distillation.topk_logits_k=64",
+    "distillation.num_prompts_per_step=20",
+    "distillation.num_generations_per_prompt=1",
+    "distillation.rollout_policy=teacher",
+    "+distillation.use_nll_loss=true",
+    "distillation.val_period=20",
+    "distillation.max_num_epochs=40",
+    "checkpointing.save_per_epoch=false",
+    "checkpointing.save_period=20",
+    "checkpointing.save_optimizer=false",
+    "checkpointing.keep_top_k=null",
+    "checkpointing.metric_name=null",
+    "policy.train_global_batch_size=20",
+    "policy.generation_batch_size=20",
+    "policy.generation.temperature=0.0",
+    "policy.optimizer.kwargs.lr=3.0e-5",
+    "policy.optimizer.kwargs.weight_decay=0.01",
+    "policy.scheduler=[{name: \"torch.optim.lr_scheduler.ConstantLR\", kwargs: {factor: 1.0, total_iters: 10000000000}}, {milestones: []}]"
+  ],
+  "program": "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py",
+  "codePath": "mix_teachers/train/knowledge_opsd/run_opsd.py",
+  "codePathLocal": "run_opsd.py",
+  "git": {
+    "remote": "https://github.com/jiarui-liu/TeacherMix.git",
+    "commit": "9938bfa2b66c98512427baa8c5adbea81dbf6dc8"
+  },
+  "email": "jiaruil5@andrew.cmu.edu",
+  "root": "/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb",
+  "host": "b0020",
+  "executable": "/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3",
+  "cpu_count": 120,
+  "cpu_count_logical": 120,
+  "disk": {
+    "/": {
+      "total": "511749718016",
+      "used": "24012206080"
+    }
+  },
+  "memory": {
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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/logs/debug.log

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+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_setup.py:_flush():81] Configure stats pid to 333
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:setup_run_log_directory():717] Logging user logs to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/logs/debug.log
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/logs/debug-internal.log
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:init():844] calling init triggers
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
+config: {'_wandb': {}}
+2026-05-02 20:57:23,440 INFO    MainThread:333 [wandb_init.py:init():892] starting backend
+2026-05-02 20:57:27,196 INFO    MainThread:333 [wandb_init.py:init():895] sending inform_init request
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+2026-05-02 20:57:33,540 INFO    MainThread:333 [wandb_run.py:_console_start():2524] atexit reg
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+2026-05-02 20:57:33,540 INFO    MainThread:333 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-05-02 20:57:33,541 INFO    MainThread:333 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-05-02 20:57:33,549 INFO    MainThread:333 [wandb_init.py:init():1082] run started, returning control to user process
+2026-05-02 20:57:33,849 INFO    MainThread:333 [wandb_run.py:_config_callback():1403] config_cb None None {'paths': {'base_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd', 'data_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft', 'checkpoint_dir': '/home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl', 'log_dir': '/home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs', 'model_search_dirs': ['/home/fs01/yw2349/jiarui/mathrl_data/models']}, 'distillation': {'num_prompts_per_step': 20, 'num_generations_per_prompt': 1, 'max_rollout_turns': 1, 'max_num_steps': 1000, 'max_num_epochs': 40, 'val_batch_size': 32, 'val_period': 20, 'val_at_start': True, 'val_at_end': True, 'max_val_samples': 200, 'topk_logits_k': 64, 'ema_decay': 1.0, 'rollout_policy': 'teacher', 'seed': 42, 'use_nll_loss': True}, 'loss_fn': {'kl_type': 'forward', 'mixed_kl_weight': 0.5, 'zero_outside_topk': False}, 'checkpointing': {'enabled': True, 'checkpoint_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527', 'metric_name': None, 'higher_is_better': True, 'keep_top_k': None, 'save_period': 20, 'save_per_epoch': False, 'checkpoint_must_save_by': None, 'save_consolidated': False, 'save_optimizer': False, 'model_save_format': 'safetensors'}, 'policy': {'model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'tokenizer': {'name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'chat_template_kwargs': {'enable_thinking': False}}, 'train_global_batch_size': 20, 'train_micro_batch_size': 1, 'generation_batch_size': 20, 'logprob_batch_size': 1, 'max_total_sequence_length': 10000, 'precision': 'bfloat16', 'logprob_chunk_size': None, 'offload_optimizer_for_logprob': False, 'dtensor_cfg': {'enabled': True, '_v2': True, 'cpu_offload': True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 3e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 0.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': [128009], 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None, 'load_format': 'dummy', 'skip_tokenizer_init': True}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}, '_pad_token_id': 128009}}, 'teacher': {'model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'tokenizer': {'name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'chat_template_kwargs': {'enable_thinking': False}}, 'train_global_batch_size': 16, 'train_micro_batch_size': 1, 'generation_batch_size': 16, 'logprob_batch_size': 1, 'max_total_sequence_length': 10000, 'precision': 'bfloat16', 'logprob_chunk_size': None, 'offload_optimizer_for_logprob': False, 'dtensor_cfg': {'enabled': True, '_v2': True, 'cpu_offload': True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 1e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 1.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': None, 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}}}, 'data': {'max_input_seq_length': 10000, 'shuffle': True, 'train': [{'dataset_name': 'knowledge_opsd', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}], 'validation': [{'dataset_name': 'knowledge_opsd_val', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}, {'dataset_name': 'knowledge_opsd_comp_val', 'processor': 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+2026-05-02 20:58:40,528 INFO    wandb-AsyncioManager-main:333 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-02 20:58:40,529 INFO    wandb-AsyncioManager-main:333 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/train_log_20260502.205527.txt

@@ -0,0 +1,691 @@
+grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/distributed/fsdp/src/megatron_fsdp/mixed_precision.py:114: UserWarning: Transformer Engine and Apex are not installed. Falling back to local implementations of multi_tensor_applier and multi_tensor_scale
+  warnings.warn(
+/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/tvm_ffi/_optional_torch_c_dlpack.py:181: UserWarning: Failed to JIT torch c dlpack extension, EnvTensorAllocator will not be enabled.
+We recommend installing via `pip install torch-c-dlpack-ext`
+  warnings.warn(
+/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/optimizer/__init__.py:24: UserWarning: Transformer Engine and Apex are not installed. Falling back to Torch optimizers.
+  warnings.warn(
+/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/optimizer/optimizer.py:29: UserWarning: Transformer Engine and Apex are not installed. Falling back to local implementations of multi_tensor_applier and multi_tensor_scale
+  warnings.warn(
+/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/optimizer/clip_grads.py:29: UserWarning: Transformer Engine and Apex are not installed. Falling back to local implementations of multi_tensor_applier, multi_tensor_l2norm, and multi_tensor_scale
+  warnings.warn(
+/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/models/backends.py:23: UserWarning: Apex is not installed. Falling back to Torch Norm
+  warnings.warn("Apex is not installed. Falling back to Torch Norm")
+[run_opsd] Using teacher-context prompt variant: knowledge_base_answer
+[INFO] Dataset processor knowledge_opsd registered
+Registered knowledge_opsd datasets from /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft
+  -> Patching _build_cot_gt_texts with knowledge GT variant
+  -> Patching _build_teacher_inputs_with_cot_in_user_turn with smart truncation (max_new_tokens=8192, teacher input budget=1808)
+2026-05-02 20:57:17,136	INFO worker.py:2004 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265 
+/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py:2052: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0
+  warnings.warn(
+No chat template provided, using tokenizer's default
+
+▶ Setting up envs...
+
+▶ Setting up data...
+  - Loaded training dataset atomic_sft-train_messages with 100 samples.
+TaskDataSpec(task_name='atomic_sft-train_messages', prompt_file=None, system_prompt_file=None) <function _knowledge_opsd_processor at 0x1480c03c5f80>
+  ✓ Training dataset loaded with 100 samples.
+  - Loaded validation dataset atomic_sft-val_paraphrased_messages with 100 samples.
+  - Loaded validation dataset compositional_2step_sft-test_messages with 93 samples.
+  ✓ Validation dataset loaded with 193 samples.
+wandb: [wandb.login()] Loaded credentials for https://api.wandb.ai from WANDB_API_KEY.
+wandb: Currently logged in as: jiaruil5 (monitorability) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
+wandb: Tracking run with wandb version 0.25.1
+wandb: Run data is saved locally in /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct
+wandb: ⭐️ View project at https://wandb.ai/mathrl-jiarui/mix-teachers-opsd
+wandb: 🚀 View run at https://wandb.ai/mathrl-jiarui/mix-teachers-opsd/runs/rp883cb4
+Unexpected error during git code logging: Artifact type 'code' is reserved for internal use. Please use a different type.
+No uncommitted changes found
+Error during git operations: Command '['git', 'diff', 'main']' returned non-zero exit status 128.
+Initialized WandbLogger for project mix-teachers-opsd, run offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct at /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb
+Initialized TensorboardLogger at /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/tensorboard
+GPU monitoring started with collection interval=10s, flush interval=10s
+  ✓ Training dataloader loaded with 100 samples
+  ✓ Validation dataloader loaded with 193 samples
+
+▶ Setting up compute cluster...
+  ✓ Ray cluster initialized with 1 nodes
+
+(IsolatedWorkerInitializer pid=9608) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(IsolatedWorkerInitializer pid=9611) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(IsolatedWorkerInitializer pid=9609) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+
+  ✓ 4 workers initialized in 12.46s
+(pid=10000) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(pid=10001) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(pid=10002) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(pid=9999) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(VllmGenerationWorker pid=10000) VLLM_RAY_BUNDLE_INDICES environment variable set to: 0,1,2,3
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [utils.py:253] non-default args: {'served_model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'skip_tokenizer_init': True, 'trust_remote_code': True, 'load_format': 'dummy', 'dtype': 'bfloat16', 'seed': 0, 'max_model_len': 10000, 'distributed_executor_backend': 'ray', 'tensor_parallel_size': 4, 'enable_prefix_caching': True, 'gpu_memory_utilization': 0.7, 'logprobs_mode': 'processed_logprobs', 'worker_extension_cls': 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension', 'enable_sleep_mode': True, 'model': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct'}
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [model.py:631] Resolved architecture: LlamaForCausalLM
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [model.py:1745] Using max model len 10000
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [arg_utils.py:1443] Using ray runtime env (env vars redacted): {'py_executable': '/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3', 'env_vars': {'AI_AGENT': '***', 'AVAILABLE_ADDR_LIST': '***', 'AVAILABLE_PORT_LIST': '***', 'BASH_FUNC__module_raw%%': '***', 'BASH_FUNC_ml%%': '***', 'BASH_FUNC_module%%': '***', 'BASH_FUNC_scl%%': '***', 'BASH_FUNC_switchml%%': '***', 'BASH_FUNC_which%%': '***', 'CLAUDECODE': '***', 'CLAUDE_CODE_ENTRYPOINT': '***', 'CLAUDE_CODE_EXECPATH': '***', 'CONDA_DEFAULT_ENV': '***', 'CONDA_EXE': '***', 'CONDA_PREFIX': '***', 'CONDA_PREFIX_1': '***', 'CONDA_PROMPT_MODIFIER': '***', 'CONDA_PYTHON_EXE': '***', 'CONDA_SHLVL': '***', 'COREPACK_ENABLE_AUTO_PIN': '***', 'CPATH': '***', 'CPATH_modshare': '***', 'CUDA_DIR': '***', 'CUDA_HOME': '***', 'CUDA_INSTALL_PATH': '***', 'CUDA_MPS_LOG_DIRECTORY': '***', 'CUDA_MPS_PIPE_DIRECTORY': '***', 'CUDA_PATH': '***', 'CUDA_TOP': '***', 'CYCLECLOUD_BOOTSTRAP': '***', 'CYCLECLOUD_HOME': '***', 'C_INCLUDE_PATH': '***', 'C_INCLUDE_PATH_modshare': '***', 'DBUS_SESSION_BUS_ADDRESS': '***', 'DISPLAY': '***', 'FJPNCKPT_CONFIG': '***', 'GDK_BACKEND': '***', 'GENKAI_CACHE_DIR': '***', 'GENKAI_CUDA_NAME': '***', 'GENKAI_CUDA_VER': '***', 'GENKAI_FAST_DIR': '***', 'GIT_EDITOR': '***', 'GLOBUS_GSSAPI_NAME_COMPATIBILITY': '***', 'HF_TOKEN': '***', 'HISTCONTROL': '***', 'HISTSIZE': '***', 'HOME': '***', 'HOSTNAME': '***', 'HYDRA_FULL_ERROR': '***', 'JOBID': '***', 'KMP_DUPLICATE_LIB_OK': '***', 'KMP_INIT_AT_FORK': '***', 'LANG': '***', 'LD_LIBRARY_PATH': '***', 'LD_LIBRARY_PATH_modshare': '***', 'LESSOPEN': '***', 'LIBRARY_PATH': '***', 'LIBRARY_PATH_modshare': '***', 'LOADEDMODULES': '***', 'LOADEDMODULES_modshare': '***', 'LOCAL_RANK': '***', 'LOGNAME': '***', 'LS_COLORS': '***', 'LUSTRE_JOBSTAT': '***', 'MAIL': '***', 'MANPATH': '***', 'MASTER_ADDR': '***', 'MASTER_PORT': '***', 'MATHEMATICA_HOME': '***', 'MIG_PARTED_CHECKPOINT_FILE': '***', 'MIG_PARTED_CONFIG_FILE': '***', 'MIG_PARTED_HOOKS_FILE': '***', 'MODULEPATH': '***', 'MODULEPATH_modshare': '***', 'MODULESHOME': '***', 'MODULES_CMD': '***', 'MODULES_LMCONFLICT': '***', 'MODULES_LMCONFLICT_modshare': '***', 'MODULES_RUN_QUARANTINE': '***', 'MOD_GIT_ROOTDIR': '***', 'NCCL_ASYNC_ERROR_HANDLING': '***', 'NCCL_DEBUG': '***', 'NCCL_SHM_USE_CUDA_MEMCPY': '***', 'NCCL_TIMEOUT': '***', 'NEMO_RL_PY_EXECUTABLES_SYSTEM': '***', 'NEMO_RL_VENV_DIR': '***', 'NODE_RANK': '***', 'NoDefaultCurrentDirectoryInExePath': '***', 'OLDPWD': '***', 'OMPI_CKPTCONFIG': '***', 'OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE': '***', 'PATH': '***', 'PATH_modshare': '***', 'PJM_ASSIGN_LOGICAL_CPU': '***', 'PJM_CORE_MEM_LIMIT': '***', 'PJM_CUSTOM_RESOURCES': '***', 'PJM_DPREFIX': '***', 'PJM_ELAPSED_TIME_MODE': '***', 'PJM_ELAPSE_LIMIT': '***', 'PJM_ENVIRONMENT': '***', 'PJM_JOBDIR': '***', 'PJM_JOBID': '***', 'PJM_JOBNAME': '***', 'PJM_MAILOPTION': '***', 'PJM_MPI_PROC': '***', 'PJM_NET_ROUTE': '***', 'PJM_NODE': '***', 'PJM_NODE_CPUTIME_LIMIT': '***', 'PJM_O_HOME': '***', 'PJM_O_HOST': '***', 'PJM_O_LANG': '***', 'PJM_O_LOGNAME': '***', 'PJM_O_MAIL': '***', 'PJM_O_NODEINF': '***', 'PJM_O_PATH': '***', 'PJM_O_SHELL': '***', 'PJM_O_WORKDIR': '***', 'PJM_PROC_BY_NODE': '***', 'PJM_RSCGRP': '***', 'PJM_RSCUNIT': '***', 'PJM_SHELL': '***', 'PJM_SSD_DIR': '***', 'PJM_STDERR_PATH': '***', 'PJM_STDOUT_PATH': '***', 'PJM_SUBJOBID': '***', 'PJM_VNODE_MEM_LIMIT': '***', 'PLE_SCRIPT_TYPE': '***', 'PWD': '***', 'PYTHONBREAKPOINT': '***', 'PYTHONPATH': '***', 'PYTHONUNBUFFERED': '***', 'RANK': '***', 'RAY_CLIENT_MODE': '***', 'RAY_DEDUP_LOGS': '***', 'RAY_ENABLE_UV_RUN_RUNTIME_ENV': '***', 'RAY_EXPERIMENTAL_NOSET_CUDA_VISIBLE_DEVICES': '***', 'RAY_TMPDIR': '***', 'RAY_USAGE_STATS_ENABLED': '***', 'RAY_memory_monitor_refresh_ms': '***', 'RAY_worker_heartbeat_timeout_milliseconds': '***', 'RAY_worker_register_timeout_seconds': '***', 'SHLVL': '***', 'SSH_ASKPASS': '***', 'SSH_CLIENT': '***', 'SSH_CONNECTION': '***', 'SSH_TTY': '***', 'SWANLAB_API_HOST': '***', 'SWANLAB_RUNTIME': '***', 'SWANLAB_WEB_HOST': '***', 'S_COLORS': '***', 'TERM': '***', 'TMP': '***', 'TMPDIR': '***', 'TMUX': '***', 'TMUX_PANE': '***', 'TMUX_TMPDIR': '***', 'TORCHINDUCTOR_CACHE_DIR': '***', 'USER': '***', 'UV_PROJECT_ENVIRONMENT': '***', 'VIRTUAL_ENV': '***', 'VLLM_CACHE_ROOT': '***', 'VLLM_ENABLE_V1_MULTIPROCESSING': '***', 'VLLM_SKIP_P2P_CHECK': '***', 'VLLM_USE_V1': '***', 'WANDB_API_KEY': '***', 'WANDB_CONFIG_DIR': '***', 'WANDB_DIR': '***', 'WANDB_SERVICE': '***', 'WORLD_SIZE': '***', 'XDG_DATA_DIRS': '***', 'XDG_RUNTIME_DIR': '***', 'XDG_SESSION_ID': '***', '_': '***', '_CE_CONDA': '***', '_CE_M': '***', '_CONDA_EXE': '***', '_CONDA_ROOT': '***', '_LMFILES_': '***', '_LMFILES__modshare': '***', '_MLFLOW_TELEMETRY_SESSION_ID': '***', 'which_declare': '***'}}
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [scheduler.py:216] Chunked prefill is enabled with max_num_batched_tokens=16384.
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [core.py:93] Initializing a V1 LLM engine (v0.11.2) with config: model='/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', skip_tokenizer_init=True, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=10000, download_dir=None, load_format=dummy, tensor_parallel_size=4, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer'], 'compile_mm_encoder': False, 'use_inductor': None, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_cudagraph_capture_size': 512, 'local_cache_dir': None}
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [ray_utils.py:343] Ray is already initialized. Skipping Ray initialization.
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:06 [ray_utils.py:374] Using the existing placement group
+(VllmGenerationWorker pid=10000) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:19 [ray_env.py:66] RAY_NON_CARRY_OVER_ENV_VARS from config: set()
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:19 [ray_env.py:69] Copying the following environment variables to workers: ['VLLM_CACHE_ROOT', 'VLLM_RAY_PER_WORKER_GPUS', 'VLLM_SKIP_P2P_CHECK', 'VLLM_RAY_BUNDLE_INDICES', 'RAY_ENABLE_UV_RUN_RUNTIME_ENV', 'VLLM_ALLOW_INSECURE_SERIALIZATION', 'VLLM_ENABLE_V1_MULTIPROCESSING', 'HF_TOKEN', 'LD_LIBRARY_PATH', 'CUDA_HOME']
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:19 [ray_env.py:74] If certain env vars should NOT be copied, add them to /home/pj24003162/ku40003404/.config/vllm/ray_non_carry_over_env_vars.json file
+(RayWorkerWrapper pid=10528) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10526) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10529) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10527) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4
+(RayWorkerWrapper pid=10528) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10528) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10526) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10526) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10529) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10529) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10527) INFO 05-02 20:58:31 [worker_base.py:283] Injected <class 'nemo_rl.models.generation.vllm.vllm_backend.VllmInternalWorkerExtension'> into <class 'vllm.v1.worker.gpu_worker.Worker'> for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq']
+(RayWorkerWrapper pid=10527) WARNING 05-02 20:58:31 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'.
+(RayWorkerWrapper pid=10528) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=0 local_rank=0 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10526) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=1 local_rank=1 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10529) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=2 local_rank=2 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10527) INFO 05-02 20:58:32 [parallel_state.py:1208] world_size=4 rank=3 local_rank=3 distributed_init_method=tcp://127.0.0.1:38357 backend=nccl
+(RayWorkerWrapper pid=10528) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10526) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10529) [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10527) [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10528) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10526) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10529) [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10527) [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
+(RayWorkerWrapper pid=10528) INFO 05-02 20:58:33 [pynccl.py:111] vLLM is using nccl==2.27.5
+(RayWorkerWrapper pid=10528) NCCL version 2.27.5+cuda12.9
+(RayWorkerWrapper pid=10528) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10526) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10529) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10527) WARNING 05-02 20:58:37 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported.
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     buffer_io = MessageQueue(
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]                 ^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     self.local_socket.bind(local_subscribe_addr)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]     super().bind(addr)
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342]   File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+(RayWorkerWrapper pid=10528) ERROR 05-02 20:58:37 [worker_base.py:342] zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')
+(VllmGenerationWorker pid=10000) INFO 05-02 20:58:37 [ray_executor.py:121] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray.
+(VllmGenerationWorker pid=10000) Exception raised in creation task: The actor died because of an error raised in its creation task, ray::vllm_policy-grp0-0:VllmGenerationWorker.__init__() (pid=10000, ip=172.16.17.20, actor_id=d3cc3fb85b11899b90f73a3a01000000, repr=VllmGenerationWorker)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 462, in __init__
+(VllmGenerationWorker pid=10000)     self._create_engine(llm_kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 579, in _create_engine
+(VllmGenerationWorker pid=10000)     self.llm = vllm.LLM(**llm_kwargs)
+(VllmGenerationWorker pid=10000)                ^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/entrypoints/llm.py", line 343, in __init__
+(VllmGenerationWorker pid=10000)     self.llm_engine = LLMEngine.from_engine_args(
+(VllmGenerationWorker pid=10000)                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 174, in from_engine_args
+(VllmGenerationWorker pid=10000)     return cls(
+(VllmGenerationWorker pid=10000)            ^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 108, in __init__
+(VllmGenerationWorker pid=10000)     self.engine_core = EngineCoreClient.make_client(
+(VllmGenerationWorker pid=10000)                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 95, in make_client
+(VllmGenerationWorker pid=10000)     return InprocClient(vllm_config, executor_class, log_stats)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 264, in __init__
+(VllmGenerationWorker pid=10000)     self.engine_core = EngineCore(*args, **kwargs)
+(VllmGenerationWorker pid=10000)                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 102, in __init__
+(VllmGenerationWorker pid=10000)     self.model_executor = executor_class(vllm_config)
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 101, in __init__
+(VllmGenerationWorker pid=10000)     self._init_executor()
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 97, in _init_executor
+(VllmGenerationWorker pid=10000)     self._init_workers_ray(placement_group, runtime_env={"py_executable": "/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3"})
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 370, in _init_workers_ray
+(VllmGenerationWorker pid=10000)     self.collective_rpc("init_device")
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 493, in collective_rpc
+(VllmGenerationWorker pid=10000)     return ray.get(ray_worker_outputs, timeout=timeout)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)                                   ^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000) ray.exceptions.RayTaskError(ZMQError): ray::RayWorkerWrapper.execute_method() (pid=10528, ip=172.16.17.20, actor_id=c3ccdf29f53c2678b6392c4f01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1455ad99e590>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+(VllmGenerationWorker pid=10000)     buffer_io = MessageQueue(
+(VllmGenerationWorker pid=10000)                 ^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+(VllmGenerationWorker pid=10000)     self.local_socket.bind(local_subscribe_addr)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+(VllmGenerationWorker pid=10000)     super().bind(addr)
+(VllmGenerationWorker pid=10000)   File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+(VllmGenerationWorker pid=10000) zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')
+(RayWorkerWrapper pid=10528) [rank0]:[W502 20:58:38.243160297 ProcessGroupNCCL.cpp:1524] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+(VllmGenerationWorker pid=10000) Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::RayWorkerWrapper.execute_method() (pid=10529, ip=172.16.17.20, actor_id=443a592620a382987761abf401000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x14b94939c210>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(VllmGenerationWorker pid=10000)     dist.broadcast_object_list(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(VllmGenerationWorker pid=10000)     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(VllmGenerationWorker pid=10000)     work.wait()
+(VllmGenerationWorker pid=10000) RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(VllmGenerationWorker pid=10000) Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::RayWorkerWrapper.execute_method() (pid=10526, ip=172.16.17.20, actor_id=be7ad8a3edbad58a1e7c83ed01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1437c91e3a10>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(VllmGenerationWorker pid=10000)     dist.broadcast_object_list(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(VllmGenerationWorker pid=10000)     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(VllmGenerationWorker pid=10000)     work.wait()
+(VllmGenerationWorker pid=10000) RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     dist.broadcast_object_list(
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342]     work.wait()
+(RayWorkerWrapper pid=10526) ERROR 05-02 20:58:39 [worker_base.py:342] RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     dist.broadcast_object_list(
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342]     work.wait()
+(RayWorkerWrapper pid=10529) ERROR 05-02 20:58:39 [worker_base.py:342] RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:9630
+(VllmGenerationWorker pid=10000) Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::RayWorkerWrapper.execute_method() (pid=10527, ip=172.16.17.20, actor_id=d324d052c5833c826e3ca1b201000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x14a30e39d4d0>)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+(VllmGenerationWorker pid=10000)     raise e
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(VllmGenerationWorker pid=10000)     return run_method(self, method, args, kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(VllmGenerationWorker pid=10000)     self.worker.init_device()  # type: ignore
+(VllmGenerationWorker pid=10000)     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(VllmGenerationWorker pid=10000)     init_worker_distributed_environment(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(VllmGenerationWorker pid=10000)     ensure_model_parallel_initialized(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(VllmGenerationWorker pid=10000)     initialize_model_parallel(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(VllmGenerationWorker pid=10000)     _TP = init_model_parallel_group(
+(VllmGenerationWorker pid=10000)           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(VllmGenerationWorker pid=10000)     return GroupCoordinator(
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(VllmGenerationWorker pid=10000)     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(VllmGenerationWorker pid=10000)                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(VllmGenerationWorker pid=10000)     dist.broadcast_object_list(
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(VllmGenerationWorker pid=10000)     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(VllmGenerationWorker pid=10000)     return func(*args, **kwargs)
+(VllmGenerationWorker pid=10000)            ^^^^^^^^^^^^^^^^^^^^^
+(VllmGenerationWorker pid=10000)   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(VllmGenerationWorker pid=10000)     work.wait()
+(VllmGenerationWorker pid=10000) RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:46216
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342] Error executing method 'init_device'. This might cause deadlock in distributed execution.
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342] Traceback (most recent call last):
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return run_method(self, method, args, kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 461, in _resume_span
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return method(self, *_args, **_kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     self.worker.init_device()  # type: ignore
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     ^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     init_worker_distributed_environment(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     ensure_model_parallel_initialized(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     initialize_model_parallel(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     _TP = init_model_parallel_group(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return GroupCoordinator(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     self.mq_broadcaster = MessageQueue.create_from_process_group(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 724, in create_from_process_group
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     dist.broadcast_object_list(
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 3691, in broadcast_object_list
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     broadcast(object_sizes_tensor, group_src=group_src, group=group)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     return func(*args, **kwargs)
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]            ^^^^^^^^^^^^^^^^^^^^^
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]   File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 2841, in broadcast
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342]     work.wait()
+(RayWorkerWrapper pid=10527) ERROR 05-02 20:58:40 [worker_base.py:342] RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/pair.cc:547] Connection closed by peer [172.16.17.20]:46216
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 205, in <module>
+    main()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 193, in main
+    run_opsd_training(
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/math_operations_opsd/opsd_common.py", line 394, in run_opsd_training
+    ) = setup(config, tokenizer, dataset, val_dataset)
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/algorithms/self_distillation.py", line 1038, in setup
+    student_generation = VllmGeneration(
+                         ^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 235, in __init__
+    self._post_init()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 433, in _post_init
+    results = ray.get(futures)
+              ^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/client_mode_hook.py", line 104, in wrapper
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 2981, in get
+    values, debugger_breakpoint = worker.get_objects(
+                                  ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 1014, in get_objects
+    raise value
+ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::vllm_policy-grp0-0:VllmGenerationWorker.__init__() (pid=10000, ip=172.16.17.20, actor_id=d3cc3fb85b11899b90f73a3a01000000, repr=VllmGenerationWorker)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 462, in __init__
+    self._create_engine(llm_kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 579, in _create_engine
+    self.llm = vllm.LLM(**llm_kwargs)
+               ^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/entrypoints/llm.py", line 343, in __init__
+    self.llm_engine = LLMEngine.from_engine_args(
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 174, in from_engine_args
+    return cls(
+           ^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 108, in __init__
+    self.engine_core = EngineCoreClient.make_client(
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 95, in make_client
+    return InprocClient(vllm_config, executor_class, log_stats)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 264, in __init__
+    self.engine_core = EngineCore(*args, **kwargs)
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 102, in __init__
+    self.model_executor = executor_class(vllm_config)
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 101, in __init__
+    self._init_executor()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 97, in _init_executor
+    self._init_workers_ray(placement_group, runtime_env={"py_executable": "/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3"})
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 370, in _init_workers_ray
+    self.collective_rpc("init_device")
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 493, in collective_rpc
+    return ray.get(ray_worker_outputs, timeout=timeout)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^
+                                  ^^^^^^^^^^^^^^^^^^^
+ray.exceptions.RayTaskError(ZMQError): ray::RayWorkerWrapper.execute_method() (pid=10528, ip=172.16.17.20, actor_id=c3ccdf29f53c2678b6392c4f01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1455ad99e590>)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+    raise e
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+    return run_method(self, method, args, kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+    self.worker.init_device()  # type: ignore
+    ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+    init_worker_distributed_environment(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+    ensure_model_parallel_initialized(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+    initialize_model_parallel(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+    _TP = init_model_parallel_group(
+          ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+    return GroupCoordinator(
+           ^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+    self.mq_broadcaster = MessageQueue.create_from_process_group(
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+    buffer_io = MessageQueue(
+                ^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+    self.local_socket.bind(local_subscribe_addr)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+    super().bind(addr)
+  File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 205, in <module>
+    main()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py", line 193, in main
+    run_opsd_training(
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/math_operations_opsd/opsd_common.py", line 394, in run_opsd_training
+    ) = setup(config, tokenizer, dataset, val_dataset)
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/algorithms/self_distillation.py", line 1038, in setup
+    student_generation = VllmGeneration(
+                         ^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 235, in __init__
+    self._post_init()
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_generation.py", line 433, in _post_init
+    results = ray.get(futures)
+              ^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/client_mode_hook.py", line 104, in wrapper
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 2981, in get
+    values, debugger_breakpoint = worker.get_objects(
+                                  ^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py", line 1014, in get_objects
+    raise value
+ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::vllm_policy-grp0-0:VllmGenerationWorker.__init__() (pid=10000, ip=172.16.17.20, actor_id=d3cc3fb85b11899b90f73a3a01000000, repr=VllmGenerationWorker)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 462, in __init__
+    self._create_engine(llm_kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/generation/vllm/vllm_worker.py", line 579, in _create_engine
+    self.llm = vllm.LLM(**llm_kwargs)
+               ^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/entrypoints/llm.py", line 343, in __init__
+    self.llm_engine = LLMEngine.from_engine_args(
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 174, in from_engine_args
+    return cls(
+           ^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/llm_engine.py", line 108, in __init__
+    self.engine_core = EngineCoreClient.make_client(
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 95, in make_client
+    return InprocClient(vllm_config, executor_class, log_stats)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 264, in __init__
+    self.engine_core = EngineCore(*args, **kwargs)
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 102, in __init__
+    self.model_executor = executor_class(vllm_config)
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 101, in __init__
+    self._init_executor()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 97, in _init_executor
+    self._init_workers_ray(placement_group, runtime_env={"py_executable": "/home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3"})
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 370, in _init_workers_ray
+    self.collective_rpc("init_device")
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/executor/ray_executor.py", line 493, in collective_rpc
+    return ray.get(ray_worker_outputs, timeout=timeout)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^
+                                  ^^^^^^^^^^^^^^^^^^^
+ray.exceptions.RayTaskError(ZMQError): ray::RayWorkerWrapper.execute_method() (pid=10528, ip=172.16.17.20, actor_id=c3ccdf29f53c2678b6392c4f01000000, repr=<vllm.v1.executor.ray_utils.RayWorkerWrapper object at 0x1455ad99e590>)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 343, in execute_method
+    raise e
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 332, in execute_method
+    return run_method(self, method, args, kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 479, in run_method
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/worker_base.py", line 324, in init_device
+    self.worker.init_device()  # type: ignore
+    ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 224, in init_device
+    init_worker_distributed_environment(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 886, in init_worker_distributed_environment
+    ensure_model_parallel_initialized(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1418, in ensure_model_parallel_initialized
+    initialize_model_parallel(
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1338, in initialize_model_parallel
+    _TP = init_model_parallel_group(
+          ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 1061, in init_model_parallel_group
+    return GroupCoordinator(
+           ^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/parallel_state.py", line 374, in __init__
+    self.mq_broadcaster = MessageQueue.create_from_process_group(
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 707, in create_from_process_group
+    buffer_io = MessageQueue(
+                ^^^^^^^^^^^^^
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/vllm/distributed/device_communicators/shm_broadcast.py", line 281, in __init__
+    self.local_socket.bind(local_subscribe_addr)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/zmq/sugar/socket.py", line 320, in bind
+    super().bind(addr)
+  File "zmq/backend/cython/_zmq.py", line 1002, in zmq.backend.cython._zmq.Socket.bind
+zmq.error.ZMQError: ipc path "/tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d" is longer than 107 characters (sizeof(sockaddr_un.sun_path)). zmq.IPC_PATH_MAX_LEN constant can be used to check addr length (if it is defined). (addr='ipc:///tmp/5738899_b2ZmcHNkLWtub3ctbmxsLWd0LWQ1ZTEwLWxsYW1hMy0yLTFiLW4xLXQwCg==/bd46b05c-54b6-4283-b2e7-7d12f7050d0d')
+wandb: 
+wandb: 🚀 View run offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct at: https://wandb.ai/mathrl-jiarui/mix-teachers-opsd/runs/rp883cb4
+wandb: Find logs at: ../../../checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.205527/logs/exp_001/wandb/wandb/run-20260502_205723-rp883cb4/logs

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001/wandb/wandb/debug-internal.log

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True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 3e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 0.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': [128009], 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None, 'load_format': 'dummy', 'skip_tokenizer_init': True}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}, '_pad_token_id': 128009}}, 'teacher': {'model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'tokenizer': {'name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'chat_template_kwargs': {'enable_thinking': False}}, 'train_global_batch_size': 16, 'train_micro_batch_size': 1, 'generation_batch_size': 16, 'logprob_batch_size': 1, 'max_total_sequence_length': 10000, 'precision': 'bfloat16', 'logprob_chunk_size': None, 'offload_optimizer_for_logprob': False, 'dtensor_cfg': {'enabled': True, '_v2': True, 'cpu_offload': True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 1e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 1.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': None, 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}}}, 'data': {'max_input_seq_length': 10000, 'shuffle': True, 'train': [{'dataset_name': 'knowledge_opsd', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}], 'validation': [{'dataset_name': 'knowledge_opsd_val', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}, {'dataset_name': 'knowledge_opsd_comp_val', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}], 'default': {'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}}, 'env': {'knowledge': {'num_workers': 8}}, 'logger': {'log_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001', 'num_val_samples_to_print': 5, 'wandb_enabled': True, 'tensorboard_enabled': True, 'mlflow_enabled': False, 'swanlab_enabled': False, 'monitor_gpus': True, 'wandb': {'project': 'mix-teachers-opsd', 'entity': 'mathrl-jiarui', 'name': 'offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct'}, 'tensorboard': {'log_dir': 'tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0'}, 'gpu_monitoring': {'collection_interval': 10, 'flush_interval': 10}}, 'cluster': {'gpus_per_node': 4, 'num_nodes': 1}}
+2026-05-02 22:26:01,436 INFO    wandb-AsyncioManager-main:333 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-02 22:26:01,437 INFO    wandb-AsyncioManager-main:333 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-05-02 22:26:02,150 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,154 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,155 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,155 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,256 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,257 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,259 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,259 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,363 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,364 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,573 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,573 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:07,005 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:07,006 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001/wandb/wandb/run-20260502_214953-at3d9dhe/files/config.yaml

@@ -0,0 +1,401 @@
+_wandb:
+    value:
+        cli_version: 0.25.1
+        e:
+            x6f96t6y6xjrsn35e91kz5o09s67b5ip:
+                args:
+                    - --config
+                    - /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/opsd_distillation_config.yaml
+                    - policy.model_name=/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+                    - policy.dtensor_cfg.tensor_parallel_size=4
+                    - policy.dtensor_cfg.context_parallel_size=1
+                    - policy.max_total_sequence_length=10000
+                    - policy.generation.max_new_tokens=8192
+                    - policy.generation.vllm_cfg.tensor_parallel_size=4
+                    - policy.generation.vllm_cfg.gpu_memory_utilization=0.7
+                    - policy.logprob_batch_size=1
+                    - policy.dtensor_cfg.cpu_offload=true
+                    - policy.dtensor_cfg.activation_checkpointing=true
+                    - paths.base_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd
+                    - paths.data_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft
+                    - checkpointing.checkpoint_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801
+                    - logger.log_dir=/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs
+                    - logger.wandb.project=mix-teachers-opsd
+                    - logger.wandb.name=offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct
+                    - logger.tensorboard.log_dir=tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0
+                    - cluster.gpus_per_node=4
+                    - cluster.num_nodes=1
+                    - loss_fn.kl_type=forward
+                    - loss_fn.zero_outside_topk=false
+                    - distillation.ema_decay=1.0
+                    - distillation.topk_logits_k=64
+                    - distillation.num_prompts_per_step=20
+                    - distillation.num_generations_per_prompt=1
+                    - distillation.rollout_policy=teacher
+                    - +distillation.use_nll_loss=true
+                    - distillation.val_period=20
+                    - distillation.max_num_epochs=40
+                    - checkpointing.save_per_epoch=false
+                    - checkpointing.save_period=20
+                    - checkpointing.save_optimizer=false
+                    - checkpointing.keep_top_k=null
+                    - checkpointing.metric_name=null
+                    - policy.train_global_batch_size=20
+                    - policy.generation_batch_size=20
+                    - policy.generation.temperature=0.0
+                    - policy.optimizer.kwargs.lr=3.0e-5
+                    - policy.optimizer.kwargs.weight_decay=0.01
+                    - 'policy.scheduler=[{name: "torch.optim.lr_scheduler.ConstantLR", kwargs: {factor: 1.0, total_iters: 10000000000}}, {milestones: []}]'
+                codePath: mix_teachers/train/knowledge_opsd/run_opsd.py
+                codePathLocal: run_opsd.py
+                cpu_count: 120
+                cpu_count_logical: 120
+                cudaVersion: "13.2"
+                disk:
+                    /:
+                        total: "511749718016"
+                        used: "24066527232"
+                email: jiaruil5@andrew.cmu.edu
+                executable: /home/pj24003162/ku40003404/miniconda3/envs/opsd/bin/python3
+                git:
+                    commit: 9938bfa2b66c98512427baa8c5adbea81dbf6dc8
+                    remote: https://github.com/jiarui-liu/TeacherMix.git
+                gpu: NVIDIA H100
+                gpu_count: 4
+                gpu_nvidia:
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "100485038080"
+                      name: NVIDIA H100
+                      uuid: GPU-3efbbdcc-42a9-7c34-3bb9-1c425a58a41e
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "100485038080"
+                      name: NVIDIA H100
+                      uuid: GPU-341838d7-55ff-ae9b-bb6c-70c79f71f3c6
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "100485038080"
+                      name: NVIDIA H100
+                      uuid: GPU-2a7d5bb1-75e4-bd44-e479-96cf8aef12bd
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "100485038080"
+                      name: NVIDIA H100
+                      uuid: GPU-d5366fc4-fdae-f11e-0bd2-8a8bf51d9453
+                host: b0020
+                memory:
+                    total: "1081436749824"
+                os: Linux-4.18.0-477.27.1.el8_8.x86_64-x86_64-with-glibc2.28
+                program: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd/run_opsd.py
+                python: CPython 3.11.15
+                root: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001/wandb
+                startedAt: "2026-05-02T12:49:53.214040Z"
+                writerId: x6f96t6y6xjrsn35e91kz5o09s67b5ip
+        m:
+            - "2": ray/*
+              "5": 2
+              "6":
+                - 1
+              "7": []
+            - "1": ray/ray_step
+              "6": []
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+            "2":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+            "3":
+                - 7
+                - 13
+                - 41
+                - 61
+            "4": 3.11.15
+            "5": 0.25.1
+            "6": 4.57.1
+            "12": 0.25.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801
+        checkpoint_must_save_by: null
+        enabled: true
+        higher_is_better: true
+        keep_top_k: null
+        metric_name: null
+        model_save_format: safetensors
+        save_consolidated: false
+        save_optimizer: false
+        save_per_epoch: false
+        save_period: 20
+cluster:
+    value:
+        gpus_per_node: 4
+        num_nodes: 1
+data:
+    value:
+        default:
+            env_name: knowledge
+            prompt_file: null
+            system_prompt_file: null
+        max_input_seq_length: 10000
+        shuffle: true
+        train:
+            - dataset_name: knowledge_opsd
+              env_name: knowledge
+              processor: knowledge_opsd
+              prompt_file: null
+              system_prompt_file: null
+        validation:
+            - dataset_name: knowledge_opsd_val
+              env_name: knowledge
+              processor: knowledge_opsd
+              prompt_file: null
+              system_prompt_file: null
+            - dataset_name: knowledge_opsd_comp_val
+              env_name: knowledge
+              processor: knowledge_opsd
+              prompt_file: null
+              system_prompt_file: null
+distillation:
+    value:
+        ema_decay: 1
+        max_num_epochs: 40
+        max_num_steps: 1000
+        max_rollout_turns: 1
+        max_val_samples: 200
+        num_generations_per_prompt: 1
+        num_prompts_per_step: 20
+        rollout_policy: teacher
+        seed: 42
+        topk_logits_k: 64
+        use_nll_loss: true
+        val_at_end: true
+        val_at_start: true
+        val_batch_size: 32
+        val_period: 20
+env:
+    value:
+        knowledge:
+            num_workers: 8
+logger:
+    value:
+        gpu_monitoring:
+            collection_interval: 10
+            flush_interval: 10
+        log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001
+        mlflow_enabled: false
+        monitor_gpus: true
+        num_val_samples_to_print: 5
+        swanlab_enabled: false
+        tensorboard:
+            log_dir: tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0
+        tensorboard_enabled: true
+        wandb:
+            entity: mathrl-jiarui
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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001/wandb/wandb/run-20260502_214953-at3d9dhe/files/requirements.txt

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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001/wandb/wandb/run-20260502_214953-at3d9dhe/files/wandb-metadata.json

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+2026-05-02 21:49:59,425 INFO    MainThread:333 [wandb_init.py:init():1082] run started, returning control to user process
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0.5, 'zero_outside_topk': False}, 'checkpointing': {'enabled': True, 'checkpoint_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801', 'metric_name': None, 'higher_is_better': True, 'keep_top_k': None, 'save_period': 20, 'save_per_epoch': False, 'checkpoint_must_save_by': None, 'save_consolidated': False, 'save_optimizer': False, 'model_save_format': 'safetensors'}, 'policy': {'model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'tokenizer': {'name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'chat_template_kwargs': {'enable_thinking': False}}, 'train_global_batch_size': 20, 'train_micro_batch_size': 1, 'generation_batch_size': 20, 'logprob_batch_size': 1, 'max_total_sequence_length': 10000, 'precision': 'bfloat16', 'logprob_chunk_size': None, 'offload_optimizer_for_logprob': False, 'dtensor_cfg': {'enabled': True, '_v2': True, 'cpu_offload': True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 3e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 0.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': [128009], 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None, 'load_format': 'dummy', 'skip_tokenizer_init': True}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}, '_pad_token_id': 128009}}, 'teacher': {'model_name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'tokenizer': {'name': '/home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct', 'chat_template_kwargs': {'enable_thinking': False}}, 'train_global_batch_size': 16, 'train_micro_batch_size': 1, 'generation_batch_size': 16, 'logprob_batch_size': 1, 'max_total_sequence_length': 10000, 'precision': 'bfloat16', 'logprob_chunk_size': None, 'offload_optimizer_for_logprob': False, 'dtensor_cfg': {'enabled': True, '_v2': True, 'cpu_offload': True, 'sequence_parallel': False, 'activation_checkpointing': True, 'tensor_parallel_size': 4, 'context_parallel_size': 1, 'custom_parallel_plan': None}, 'dynamic_batching': {'enabled': True, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'sequence_length_round': 64}, 'sequence_packing': {'enabled': False, 'train_mb_tokens': 10000, 'logprob_mb_tokens': 10000, 'algorithm': 'modified_first_fit_decreasing', 'sequence_length_round': 64}, 'max_grad_norm': 1.0, 'make_sequence_length_divisible_by': 8, 'optimizer': {'name': 'torch.optim.AdamW', 'kwargs': {'lr': 1e-05, 'weight_decay': 0.01, 'betas': [0.9, 0.95], 'eps': 1e-08, 'foreach': False, 'fused': False}}, 'megatron_cfg': {'enabled': False}, 'scheduler': [{'name': 'torch.optim.lr_scheduler.ConstantLR', 'kwargs': {'factor': 1.0, 'total_iters': 10000000000}}, {'milestones': []}], 'generation': {'backend': 'vllm', 'max_new_tokens': 8192, 'temperature': 1.0, 'top_p': 1.0, 'top_k': None, 'stop_token_ids': None, 'stop_strings': None, 'vllm_cfg': {'async_engine': False, 'precision': 'bfloat16', 'kv_cache_dtype': 'auto', 'tensor_parallel_size': 4, 'pipeline_parallel_size': 1, 'expert_parallel_size': 1, 'gpu_memory_utilization': 0.7, 'max_model_len': 10000, 'enforce_eager': False, 'use_deep_gemm': False, 'num_last_layers_in_bf16': 0, 'num_first_layers_in_bf16': 0, 'distributed_executor_backend': None}, 'colocated': {'enabled': True, 'resources': {'gpus_per_node': None, 'num_nodes': None}}}}, 'data': {'max_input_seq_length': 10000, 'shuffle': True, 'train': [{'dataset_name': 'knowledge_opsd', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}], 'validation': [{'dataset_name': 'knowledge_opsd_val', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}, {'dataset_name': 'knowledge_opsd_comp_val', 'processor': 'knowledge_opsd', 'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}], 'default': {'prompt_file': None, 'system_prompt_file': None, 'env_name': 'knowledge'}}, 'env': {'knowledge': {'num_workers': 8}}, 'logger': {'log_dir': '/home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001', 'num_val_samples_to_print': 5, 'wandb_enabled': True, 'tensorboard_enabled': True, 'mlflow_enabled': False, 'swanlab_enabled': False, 'monitor_gpus': True, 'wandb': {'project': 'mix-teachers-opsd', 'entity': 'mathrl-jiarui', 'name': 'offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct'}, 'tensorboard': {'log_dir': 'tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0'}, 'gpu_monitoring': {'collection_interval': 10, 'flush_interval': 10}}, 'cluster': {'gpus_per_node': 4, 'num_nodes': 1}}
+2026-05-02 22:26:01,436 INFO    wandb-AsyncioManager-main:333 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-02 22:26:01,437 INFO    wandb-AsyncioManager-main:333 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-05-02 22:26:02,150 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,154 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,155 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,155 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,256 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,257 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,258 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,259 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,259 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,363 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,364 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,573 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:02,573 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:07,005 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-02 22:26:07,006 ERROR   wandb-AsyncioManager-main:333 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/config.yaml

@@ -0,0 +1,256 @@
+checkpointing:
+  checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801
+  checkpoint_must_save_by: null
+  enabled: true
+  higher_is_better: true
+  keep_top_k: null
+  metric_name: null
+  model_save_format: safetensors
+  save_consolidated: false
+  save_optimizer: false
+  save_per_epoch: false
+  save_period: 20
+cluster:
+  gpus_per_node: 4
+  num_nodes: 1
+data:
+  default:
+    env_name: knowledge
+    prompt_file: null
+    system_prompt_file: null
+  max_input_seq_length: 10000
+  shuffle: true
+  train:
+  - dataset_name: knowledge_opsd
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+  validation:
+  - dataset_name: knowledge_opsd_val
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+  - dataset_name: knowledge_opsd_comp_val
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+distillation:
+  ema_decay: 1.0
+  max_num_epochs: 40
+  max_num_steps: 1000
+  max_rollout_turns: 1
+  max_val_samples: 200
+  num_generations_per_prompt: 1
+  num_prompts_per_step: 20
+  rollout_policy: teacher
+  seed: 42
+  topk_logits_k: 64
+  use_nll_loss: true
+  val_at_end: true
+  val_at_start: true
+  val_batch_size: 32
+  val_period: 20
+env:
+  knowledge:
+    num_workers: 8
+logger:
+  gpu_monitoring:
+    collection_interval: 10
+    flush_interval: 10
+  log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001
+  mlflow_enabled: false
+  monitor_gpus: true
+  num_val_samples_to_print: 5
+  swanlab_enabled: false
+  tensorboard:
+    log_dir: tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0
+  tensorboard_enabled: true
+  wandb:
+    entity: mathrl-jiarui
+    name: offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct
+    project: mix-teachers-opsd
+  wandb_enabled: true
+loss_fn:
+  kl_type: forward
+  mixed_kl_weight: 0.5
+  zero_outside_topk: false
+paths:
+  base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd
+  checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl
+  data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft
+  log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs
+  model_search_dirs:
+  - /home/fs01/yw2349/jiarui/mathrl_data/models
+policy:
+  dtensor_cfg:
+    _v2: true
+    activation_checkpointing: true
+    context_parallel_size: 1
+    cpu_offload: true
+    custom_parallel_plan: null
+    enabled: true
+    sequence_parallel: false
+    tensor_parallel_size: 4
+  dynamic_batching:
+    enabled: true
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  generation:
+    _pad_token_id: 128009
+    backend: vllm
+    colocated:
+      enabled: true
+      resources:
+        gpus_per_node: null
+        num_nodes: null
+    max_new_tokens: 8192
+    model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+    stop_strings: null
+    stop_token_ids:
+    - 128009
+    temperature: 0.0
+    top_k: null
+    top_p: 1.0
+    vllm_cfg:
+      async_engine: false
+      distributed_executor_backend: null
+      enforce_eager: false
+      expert_parallel_size: 1
+      gpu_memory_utilization: 0.7
+      hf_overrides: {}
+      kv_cache_dtype: auto
+      load_format: dummy
+      max_model_len: 10000
+      num_first_layers_in_bf16: 0
+      num_last_layers_in_bf16: 0
+      pipeline_parallel_size: 1
+      precision: bfloat16
+      skip_tokenizer_init: true
+      tensor_parallel_size: 4
+      use_deep_gemm: false
+  generation_batch_size: 20
+  logprob_batch_size: 1
+  logprob_chunk_size: null
+  make_sequence_length_divisible_by: 8
+  max_grad_norm: 1.0
+  max_total_sequence_length: 10000
+  megatron_cfg:
+    enabled: false
+  model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  offload_optimizer_for_logprob: false
+  optimizer:
+    kwargs:
+      betas:
+      - 0.9
+      - 0.95
+      eps: 1.0e-08
+      foreach: false
+      fused: false
+      lr: 3.0e-05
+      weight_decay: 0.01
+    name: torch.optim.AdamW
+  precision: bfloat16
+  scheduler:
+  - kwargs:
+      factor: 1.0
+      total_iters: 10000000000
+    name: torch.optim.lr_scheduler.ConstantLR
+  - milestones: []
+  sequence_packing:
+    algorithm: modified_first_fit_decreasing
+    enabled: false
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  tokenizer:
+    chat_template_kwargs:
+      enable_thinking: false
+    name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  train_global_batch_size: 20
+  train_micro_batch_size: 1
+teacher:
+  dtensor_cfg:
+    _v2: true
+    activation_checkpointing: true
+    context_parallel_size: 1
+    cpu_offload: true
+    custom_parallel_plan: null
+    enabled: true
+    sequence_parallel: false
+    tensor_parallel_size: 4
+  dynamic_batching:
+    enabled: true
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  generation:
+    backend: vllm
+    colocated:
+      enabled: true
+      resources:
+        gpus_per_node: null
+        num_nodes: null
+    max_new_tokens: 8192
+    stop_strings: null
+    stop_token_ids: null
+    temperature: 1.0
+    top_k: null
+    top_p: 1.0
+    vllm_cfg:
+      async_engine: false
+      distributed_executor_backend: null
+      enforce_eager: false
+      expert_parallel_size: 1
+      gpu_memory_utilization: 0.7
+      kv_cache_dtype: auto
+      max_model_len: 10000
+      num_first_layers_in_bf16: 0
+      num_last_layers_in_bf16: 0
+      pipeline_parallel_size: 1
+      precision: bfloat16
+      tensor_parallel_size: 4
+      use_deep_gemm: false
+  generation_batch_size: 16
+  logprob_batch_size: 1
+  logprob_chunk_size: null
+  make_sequence_length_divisible_by: 8
+  max_grad_norm: 1.0
+  max_total_sequence_length: 10000
+  megatron_cfg:
+    enabled: false
+  model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  offload_optimizer_for_logprob: false
+  optimizer:
+    kwargs:
+      betas:
+      - 0.9
+      - 0.95
+      eps: 1.0e-08
+      foreach: false
+      fused: false
+      lr: 1.0e-05
+      weight_decay: 0.01
+    name: torch.optim.AdamW
+  precision: bfloat16
+  scheduler:
+  - kwargs:
+      factor: 1.0
+      total_iters: 10000000000
+    name: torch.optim.lr_scheduler.ConstantLR
+  - milestones: []
+  sequence_packing:
+    algorithm: modified_first_fit_decreasing
+    enabled: false
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  tokenizer:
+    chat_template_kwargs:
+      enable_thinking: false
+    name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  train_global_batch_size: 16
+  train_micro_batch_size: 1

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/policy/tokenizer/chat_template.jinja

@@ -0,0 +1,93 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/policy/tokenizer/special_tokens_map.json

@@ -0,0 +1,17 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|eot_id|>"
+}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/policy/tokenizer/tokenizer_config.json

@@ -0,0 +1,2063 @@
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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/policy/weights/model/.hf_metadata/config.json

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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/policy/weights/model/.hf_metadata/fqn_to_file_index_mapping.json

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checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/policy/weights/model/.hf_metadata/generation_config.json

@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.57.1"
+}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_100/training_info.json

@@ -0,0 +1 @@
+{"current_epoch": 19, "current_step": 5, "total_steps": 100, "val_reward": 0.15625, "consumed_samples": 2000, "total_valid_tokens": 323568.0}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_120/config.yaml

@@ -0,0 +1,256 @@
+checkpointing:
+  checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801
+  checkpoint_must_save_by: null
+  enabled: true
+  higher_is_better: true
+  keep_top_k: null
+  metric_name: null
+  model_save_format: safetensors
+  save_consolidated: false
+  save_optimizer: false
+  save_per_epoch: false
+  save_period: 20
+cluster:
+  gpus_per_node: 4
+  num_nodes: 1
+data:
+  default:
+    env_name: knowledge
+    prompt_file: null
+    system_prompt_file: null
+  max_input_seq_length: 10000
+  shuffle: true
+  train:
+  - dataset_name: knowledge_opsd
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+  validation:
+  - dataset_name: knowledge_opsd_val
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+  - dataset_name: knowledge_opsd_comp_val
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+distillation:
+  ema_decay: 1.0
+  max_num_epochs: 40
+  max_num_steps: 1000
+  max_rollout_turns: 1
+  max_val_samples: 200
+  num_generations_per_prompt: 1
+  num_prompts_per_step: 20
+  rollout_policy: teacher
+  seed: 42
+  topk_logits_k: 64
+  use_nll_loss: true
+  val_at_end: true
+  val_at_start: true
+  val_batch_size: 32
+  val_period: 20
+env:
+  knowledge:
+    num_workers: 8
+logger:
+  gpu_monitoring:
+    collection_interval: 10
+    flush_interval: 10
+  log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001
+  mlflow_enabled: false
+  monitor_gpus: true
+  num_val_samples_to_print: 5
+  swanlab_enabled: false
+  tensorboard:
+    log_dir: tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0
+  tensorboard_enabled: true
+  wandb:
+    entity: mathrl-jiarui
+    name: offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct
+    project: mix-teachers-opsd
+  wandb_enabled: true
+loss_fn:
+  kl_type: forward
+  mixed_kl_weight: 0.5
+  zero_outside_topk: false
+paths:
+  base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd
+  checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl
+  data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft
+  log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs
+  model_search_dirs:
+  - /home/fs01/yw2349/jiarui/mathrl_data/models
+policy:
+  dtensor_cfg:
+    _v2: true
+    activation_checkpointing: true
+    context_parallel_size: 1
+    cpu_offload: true
+    custom_parallel_plan: null
+    enabled: true
+    sequence_parallel: false
+    tensor_parallel_size: 4
+  dynamic_batching:
+    enabled: true
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  generation:
+    _pad_token_id: 128009
+    backend: vllm
+    colocated:
+      enabled: true
+      resources:
+        gpus_per_node: null
+        num_nodes: null
+    max_new_tokens: 8192
+    model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+    stop_strings: null
+    stop_token_ids:
+    - 128009
+    temperature: 0.0
+    top_k: null
+    top_p: 1.0
+    vllm_cfg:
+      async_engine: false
+      distributed_executor_backend: null
+      enforce_eager: false
+      expert_parallel_size: 1
+      gpu_memory_utilization: 0.7
+      hf_overrides: {}
+      kv_cache_dtype: auto
+      load_format: dummy
+      max_model_len: 10000
+      num_first_layers_in_bf16: 0
+      num_last_layers_in_bf16: 0
+      pipeline_parallel_size: 1
+      precision: bfloat16
+      skip_tokenizer_init: true
+      tensor_parallel_size: 4
+      use_deep_gemm: false
+  generation_batch_size: 20
+  logprob_batch_size: 1
+  logprob_chunk_size: null
+  make_sequence_length_divisible_by: 8
+  max_grad_norm: 1.0
+  max_total_sequence_length: 10000
+  megatron_cfg:
+    enabled: false
+  model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  offload_optimizer_for_logprob: false
+  optimizer:
+    kwargs:
+      betas:
+      - 0.9
+      - 0.95
+      eps: 1.0e-08
+      foreach: false
+      fused: false
+      lr: 3.0e-05
+      weight_decay: 0.01
+    name: torch.optim.AdamW
+  precision: bfloat16
+  scheduler:
+  - kwargs:
+      factor: 1.0
+      total_iters: 10000000000
+    name: torch.optim.lr_scheduler.ConstantLR
+  - milestones: []
+  sequence_packing:
+    algorithm: modified_first_fit_decreasing
+    enabled: false
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  tokenizer:
+    chat_template_kwargs:
+      enable_thinking: false
+    name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  train_global_batch_size: 20
+  train_micro_batch_size: 1
+teacher:
+  dtensor_cfg:
+    _v2: true
+    activation_checkpointing: true
+    context_parallel_size: 1
+    cpu_offload: true
+    custom_parallel_plan: null
+    enabled: true
+    sequence_parallel: false
+    tensor_parallel_size: 4
+  dynamic_batching:
+    enabled: true
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  generation:
+    backend: vllm
+    colocated:
+      enabled: true
+      resources:
+        gpus_per_node: null
+        num_nodes: null
+    max_new_tokens: 8192
+    stop_strings: null
+    stop_token_ids: null
+    temperature: 1.0
+    top_k: null
+    top_p: 1.0
+    vllm_cfg:
+      async_engine: false
+      distributed_executor_backend: null
+      enforce_eager: false
+      expert_parallel_size: 1
+      gpu_memory_utilization: 0.7
+      kv_cache_dtype: auto
+      max_model_len: 10000
+      num_first_layers_in_bf16: 0
+      num_last_layers_in_bf16: 0
+      pipeline_parallel_size: 1
+      precision: bfloat16
+      tensor_parallel_size: 4
+      use_deep_gemm: false
+  generation_batch_size: 16
+  logprob_batch_size: 1
+  logprob_chunk_size: null
+  make_sequence_length_divisible_by: 8
+  max_grad_norm: 1.0
+  max_total_sequence_length: 10000
+  megatron_cfg:
+    enabled: false
+  model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  offload_optimizer_for_logprob: false
+  optimizer:
+    kwargs:
+      betas:
+      - 0.9
+      - 0.95
+      eps: 1.0e-08
+      foreach: false
+      fused: false
+      lr: 1.0e-05
+      weight_decay: 0.01
+    name: torch.optim.AdamW
+  precision: bfloat16
+  scheduler:
+  - kwargs:
+      factor: 1.0
+      total_iters: 10000000000
+    name: torch.optim.lr_scheduler.ConstantLR
+  - milestones: []
+  sequence_packing:
+    algorithm: modified_first_fit_decreasing
+    enabled: false
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  tokenizer:
+    chat_template_kwargs:
+      enable_thinking: false
+    name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  train_global_batch_size: 16
+  train_micro_batch_size: 1

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_120/policy/tokenizer/chat_template.jinja

@@ -0,0 +1,93 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_120/policy/tokenizer/special_tokens_map.json

@@ -0,0 +1,17 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|eot_id|>"
+}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_120/policy/tokenizer/tokenizer_config.json

@@ -0,0 +1,2063 @@
+{
+  "added_tokens_decoder": {
+    "128000": {
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+  "model.layers.7.self_attn.v_proj.weight": 1,
+  "model.layers.8.input_layernorm.weight": 1,
+  "model.layers.8.mlp.down_proj.weight": 1,
+  "model.layers.8.mlp.gate_proj.weight": 1,
+  "model.layers.8.mlp.up_proj.weight": 1,
+  "model.layers.8.post_attention_layernorm.weight": 1,
+  "model.layers.8.self_attn.k_proj.weight": 1,
+  "model.layers.8.self_attn.o_proj.weight": 1,
+  "model.layers.8.self_attn.q_proj.weight": 1,
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+  "model.layers.9.input_layernorm.weight": 1,
+  "model.layers.9.mlp.down_proj.weight": 1,
+  "model.layers.9.mlp.gate_proj.weight": 1,
+  "model.layers.9.mlp.up_proj.weight": 1,
+  "model.layers.9.post_attention_layernorm.weight": 1,
+  "model.layers.9.self_attn.k_proj.weight": 1,
+  "model.layers.9.self_attn.o_proj.weight": 1,
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+}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_120/policy/weights/model/.hf_metadata/generation_config.json

@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.57.1"
+}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_120/training_info.json

@@ -0,0 +1 @@
+{"current_epoch": 23, "current_step": 5, "total_steps": 120, "val_reward": 0.15104166666666666, "consumed_samples": 2400, "total_valid_tokens": 388345.0}

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_160/config.yaml

@@ -0,0 +1,256 @@
+checkpointing:
+  checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801
+  checkpoint_must_save_by: null
+  enabled: true
+  higher_is_better: true
+  keep_top_k: null
+  metric_name: null
+  model_save_format: safetensors
+  save_consolidated: false
+  save_optimizer: false
+  save_per_epoch: false
+  save_period: 20
+cluster:
+  gpus_per_node: 4
+  num_nodes: 1
+data:
+  default:
+    env_name: knowledge
+    prompt_file: null
+    system_prompt_file: null
+  max_input_seq_length: 10000
+  shuffle: true
+  train:
+  - dataset_name: knowledge_opsd
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+  validation:
+  - dataset_name: knowledge_opsd_val
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+  - dataset_name: knowledge_opsd_comp_val
+    env_name: knowledge
+    processor: knowledge_opsd
+    prompt_file: null
+    system_prompt_file: null
+distillation:
+  ema_decay: 1.0
+  max_num_epochs: 40
+  max_num_steps: 1000
+  max_rollout_turns: 1
+  max_val_samples: 200
+  num_generations_per_prompt: 1
+  num_prompts_per_step: 20
+  rollout_policy: teacher
+  seed: 42
+  topk_logits_k: 64
+  use_nll_loss: true
+  val_at_end: true
+  val_at_start: true
+  val_batch_size: 32
+  val_period: 20
+env:
+  knowledge:
+    num_workers: 8
+logger:
+  gpu_monitoring:
+    collection_interval: 10
+    flush_interval: 10
+  log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/logs/exp_001
+  mlflow_enabled: false
+  monitor_gpus: true
+  num_val_samples_to_print: 5
+  swanlab_enabled: false
+  tensorboard:
+    log_dir: tb_logs-offpsd-knowledge-nll-gt-d5-e10-llama3-2-1b-n1-t0
+  tensorboard_enabled: true
+  wandb:
+    entity: mathrl-jiarui
+    name: offpsd-knowledge-nll-gt-d5-e10-n1-t0-20260502-Llama-3.2-1B-Instruct
+    project: mix-teachers-opsd
+  wandb_enabled: true
+loss_fn:
+  kl_type: forward
+  mixed_kl_weight: 0.5
+  zero_outside_topk: false
+paths:
+  base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd
+  checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl
+  data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft
+  log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs
+  model_search_dirs:
+  - /home/fs01/yw2349/jiarui/mathrl_data/models
+policy:
+  dtensor_cfg:
+    _v2: true
+    activation_checkpointing: true
+    context_parallel_size: 1
+    cpu_offload: true
+    custom_parallel_plan: null
+    enabled: true
+    sequence_parallel: false
+    tensor_parallel_size: 4
+  dynamic_batching:
+    enabled: true
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  generation:
+    _pad_token_id: 128009
+    backend: vllm
+    colocated:
+      enabled: true
+      resources:
+        gpus_per_node: null
+        num_nodes: null
+    max_new_tokens: 8192
+    model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+    stop_strings: null
+    stop_token_ids:
+    - 128009
+    temperature: 0.0
+    top_k: null
+    top_p: 1.0
+    vllm_cfg:
+      async_engine: false
+      distributed_executor_backend: null
+      enforce_eager: false
+      expert_parallel_size: 1
+      gpu_memory_utilization: 0.7
+      hf_overrides: {}
+      kv_cache_dtype: auto
+      load_format: dummy
+      max_model_len: 10000
+      num_first_layers_in_bf16: 0
+      num_last_layers_in_bf16: 0
+      pipeline_parallel_size: 1
+      precision: bfloat16
+      skip_tokenizer_init: true
+      tensor_parallel_size: 4
+      use_deep_gemm: false
+  generation_batch_size: 20
+  logprob_batch_size: 1
+  logprob_chunk_size: null
+  make_sequence_length_divisible_by: 8
+  max_grad_norm: 1.0
+  max_total_sequence_length: 10000
+  megatron_cfg:
+    enabled: false
+  model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  offload_optimizer_for_logprob: false
+  optimizer:
+    kwargs:
+      betas:
+      - 0.9
+      - 0.95
+      eps: 1.0e-08
+      foreach: false
+      fused: false
+      lr: 3.0e-05
+      weight_decay: 0.01
+    name: torch.optim.AdamW
+  precision: bfloat16
+  scheduler:
+  - kwargs:
+      factor: 1.0
+      total_iters: 10000000000
+    name: torch.optim.lr_scheduler.ConstantLR
+  - milestones: []
+  sequence_packing:
+    algorithm: modified_first_fit_decreasing
+    enabled: false
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  tokenizer:
+    chat_template_kwargs:
+      enable_thinking: false
+    name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  train_global_batch_size: 20
+  train_micro_batch_size: 1
+teacher:
+  dtensor_cfg:
+    _v2: true
+    activation_checkpointing: true
+    context_parallel_size: 1
+    cpu_offload: true
+    custom_parallel_plan: null
+    enabled: true
+    sequence_parallel: false
+    tensor_parallel_size: 4
+  dynamic_batching:
+    enabled: true
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  generation:
+    backend: vllm
+    colocated:
+      enabled: true
+      resources:
+        gpus_per_node: null
+        num_nodes: null
+    max_new_tokens: 8192
+    stop_strings: null
+    stop_token_ids: null
+    temperature: 1.0
+    top_k: null
+    top_p: 1.0
+    vllm_cfg:
+      async_engine: false
+      distributed_executor_backend: null
+      enforce_eager: false
+      expert_parallel_size: 1
+      gpu_memory_utilization: 0.7
+      kv_cache_dtype: auto
+      max_model_len: 10000
+      num_first_layers_in_bf16: 0
+      num_last_layers_in_bf16: 0
+      pipeline_parallel_size: 1
+      precision: bfloat16
+      tensor_parallel_size: 4
+      use_deep_gemm: false
+  generation_batch_size: 16
+  logprob_batch_size: 1
+  logprob_chunk_size: null
+  make_sequence_length_divisible_by: 8
+  max_grad_norm: 1.0
+  max_total_sequence_length: 10000
+  megatron_cfg:
+    enabled: false
+  model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  offload_optimizer_for_logprob: false
+  optimizer:
+    kwargs:
+      betas:
+      - 0.9
+      - 0.95
+      eps: 1.0e-08
+      foreach: false
+      fused: false
+      lr: 1.0e-05
+      weight_decay: 0.01
+    name: torch.optim.AdamW
+  precision: bfloat16
+  scheduler:
+  - kwargs:
+      factor: 1.0
+      total_iters: 10000000000
+    name: torch.optim.lr_scheduler.ConstantLR
+  - milestones: []
+  sequence_packing:
+    algorithm: modified_first_fit_decreasing
+    enabled: false
+    logprob_mb_tokens: 10000
+    sequence_length_round: 64
+    train_mb_tokens: 10000
+  tokenizer:
+    chat_template_kwargs:
+      enable_thinking: false
+    name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct
+  train_global_batch_size: 16
+  train_micro_batch_size: 1

checkpoints/knowledge/offpsd_nll_gt_d5_e10_llama3_2_1b_n1_t0_20260502/run_20260502.214801/step_160/policy/tokenizer/chat_template.jinja

@@ -0,0 +1,93 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}