Training in progress, step 100

chat_template.jinja

@@ -0,0 +1,5 @@
+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '
+
+' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '
+
+' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}

config.json

@@ -0,0 +1,60 @@
+{
+  "architectures": [
+    "DeepseekV2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct--configuration_deepseek.DeepseekV2Config",
+    "AutoModel": "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct--modeling_deepseek.DeepseekV2Model",
+    "AutoModelForCausalLM": "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct--modeling_deepseek.DeepseekV2ForCausalLM"
+  },
+  "aux_loss_alpha": 0.001,
+  "bos_token_id": 100000,
+  "eos_token_id": 100001,
+  "ep_size": 1,
+  "first_k_dense_replace": 1,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 10944,
+  "kv_lora_rank": 512,
+  "max_position_embeddings": 163840,
+  "model_type": "deepseek_v2",
+  "moe_intermediate_size": 1408,
+  "moe_layer_freq": 1,
+  "n_group": 1,
+  "n_routed_experts": 64,
+  "n_shared_experts": 2,
+  "norm_topk_prob": false,
+  "num_attention_heads": 16,
+  "num_experts_per_tok": 6,
+  "num_hidden_layers": 27,
+  "num_key_value_heads": 16,
+  "pretraining_tp": 1,
+  "q_lora_rank": null,
+  "qk_nope_head_dim": 128,
+  "qk_rope_head_dim": 64,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "beta_fast": 32,
+    "beta_slow": 1,
+    "factor": 40,
+    "mscale": 0.707,
+    "mscale_all_dim": 0.707,
+    "original_max_position_embeddings": 4096,
+    "type": "yarn"
+  },
+  "rope_theta": 10000,
+  "routed_scaling_factor": 1.0,
+  "scoring_func": "softmax",
+  "seq_aux": true,
+  "tie_word_embeddings": false,
+  "topk_group": 1,
+  "topk_method": "greedy",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.0.dev0",
+  "use_cache": true,
+  "v_head_dim": 128,
+  "vocab_size": 102400
+}

expert_selection.log

@@ -0,0 +1,194 @@
+2025-07-11 01:07:44 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 01:07:44 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 01:07:44 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_01-07-43_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=8192,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=4,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 01:07:45 - INFO - __main__ - *** Initializing model kwargs ***
+2025-07-11 01:07:45 - INFO - __main__ - Model memory in step 1, before model initialization (0):Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 01:08:08 - INFO - __main__ - Model memory in step 1, after model initialization:Memory allocated: 4836.39697265625
+Memory reserved: 7322.0
+2025-07-11 01:08:08 - INFO - __main__ - Model memory in step 2, before data collator initialization:Memory allocated: 4836.39697265625
+Memory reserved: 6442.0
+2025-07-11 01:08:08 - INFO - __main__ - Model memory in step 2, after data collator initialization:Memory allocated: 4836.39697265625
+Memory reserved: 6442.0
+2025-07-11 01:08:08 - INFO - __main__ - Model memory in step 4, before trainer initialization:Memory allocated: 4836.39697265625
+Memory reserved: 6442.0
+2025-07-11 01:08:09 - INFO - __main__ - Model memory in step 4, after trainer initialization:Memory allocated: 4836.3974609375
+Memory reserved: 6442.0
+2025-07-11 01:08:09 - INFO - __main__ - Model memory in step 5, before prediction:Memory allocated: 4836.3974609375
+Memory reserved: 6442.0
+2025-07-11 01:08:09 - INFO - __main__ - Running prediction on test subset to record expert activations...
+2025-07-11 01:08:20 - INFO - __main__ - Model memory in step 5, after prediction:Memory allocated: 3789.373046875
+Memory reserved: 16034.0
+2025-07-11 01:08:20 - INFO - __main__ - Top k experts selected: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-07-11 01:08:20 - INFO - __main__ - Top k experts saved to: /home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/top_6_experts_lmms-lab_Math10K.json
+2025-07-11 01:08:20 - INFO - __main__ - Model memory before cleanup:Memory allocated: 3789.373046875
+Memory reserved: 16034.0
+2025-07-11 01:08:22 - INFO - __main__ - Model memory after cleanup:Memory allocated: 3788.38427734375
+Memory reserved: 5794.0
+2025-07-11 01:08:22 - INFO - __main__ - Expert selection completed successfully. Run part 2 for training.

model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35d9f29300f400bab994c596de8b655c13652c0f0f1de2c8e3e2a35cdf54c0c3
+size 4902968072

model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9560e61b86eb9b7b8c25a028a9e1c79798cc7d34b9b4e87ecb337d1a053823e9
+size 419430528

model.safetensors.index.json

@@ -0,0 +1,774 @@
+{
+  "metadata": {
+    "total_size": 5322300416
+  },
+  "weight_map": {
+    "lm_head.weight": "model-00002-of-00002.safetensors",
+    "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.gate.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.4.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.4.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.4.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.5.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.5.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.selected_experts.5.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.shared_experts.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.shared_experts.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.shared_experts.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.kv_a_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.kv_b_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.norm.weight": "model-00001-of-00002.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,17 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<｜end▁of▁sentence｜>"
+}

tokenizer_config.json

@@ -0,0 +1,163 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "100000": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100001": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100002": {
+      "content": "<｜fim▁hole｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100003": {
+      "content": "<｜fim▁begin｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100004": {
+      "content": "<｜fim▁end｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100005": {
+      "content": "<｜completion｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100006": {
+      "content": "<｜User｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100007": {
+      "content": "<｜Assistant｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100008": {
+      "content": "<|EOT|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100009": {
+      "content": "<｜tool▁calls▁begin｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100010": {
+      "content": "<｜tool▁calls▁end｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100011": {
+      "content": "<｜tool▁call▁begin｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100012": {
+      "content": "<｜tool▁call▁end｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100013": {
+      "content": "<｜tool▁outputs▁begin｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100014": {
+      "content": "<｜tool▁outputs▁end｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100015": {
+      "content": "<｜tool▁output▁begin｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100016": {
+      "content": "<｜tool▁output▁end｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100017": {
+      "content": "<｜tool▁sep｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "fast_tokenizer": true,
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}

top_6_experts_lmms-lab_Math10K.json

@@ -0,0 +1 @@
+{"model.layers.1.mlp": [51, 61, 44, 45, 14, 22], "model.layers.2.mlp": [27, 25, 18, 13, 3, 23], "model.layers.3.mlp": [54, 25, 41, 23, 28, 57], "model.layers.4.mlp": [37, 21, 33, 49, 11, 14], "model.layers.5.mlp": [54, 47, 35, 20, 52, 9], "model.layers.6.mlp": [22, 1, 13, 45, 42, 47], "model.layers.7.mlp": [58, 43, 24, 18, 44, 62], "model.layers.8.mlp": [47, 39, 56, 30, 54, 58], "model.layers.9.mlp": [31, 13, 22, 24, 12, 32], "model.layers.10.mlp": [47, 19, 42, 2, 13, 22], "model.layers.11.mlp": [29, 11, 17, 10, 59, 22], "model.layers.12.mlp": [5, 56, 3, 59, 4, 26], "model.layers.13.mlp": [10, 42, 58, 14, 47, 17], "model.layers.14.mlp": [51, 7, 27, 18, 31, 61], "model.layers.15.mlp": [24, 55, 5, 17, 14, 41], "model.layers.16.mlp": [61, 33, 63, 49, 19, 9], "model.layers.17.mlp": [0, 26, 43, 32, 27, 29], "model.layers.18.mlp": [5, 56, 42, 36, 2, 1], "model.layers.19.mlp": [2, 23, 24, 36, 40, 0], "model.layers.20.mlp": [1, 56, 38, 20, 48, 58], "model.layers.21.mlp": [5, 13, 15, 28, 19, 10], "model.layers.22.mlp": [58, 32, 31, 3, 45, 14], "model.layers.23.mlp": [20, 0, 58, 45, 33, 42], "model.layers.24.mlp": [62, 7, 42, 47, 10, 63], "model.layers.25.mlp": [45, 48, 39, 11, 46, 38], "model.layers.26.mlp": [46, 49, 6, 13, 11, 57]}

training.log

@@ -0,0 +1,1609 @@
+2025-07-11 01:10:36 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 01:10:36 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 01:10:36 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_01-10-35_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=8192,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=4,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 01:12:32 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 01:12:32 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 01:12:32 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_01-12-32_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=8192,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=4,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 01:12:33 - INFO - __main__ - *** Initializing model kwargs ***
+2025-07-11 01:12:33 - INFO - __main__ - Loaded top k experts from /home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/top_6_experts_lmms-lab_Math10K.json: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-07-11 01:12:33 - INFO - __main__ - Model memory before loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 01:12:44 - INFO - __main__ - Model memory after loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 01:12:44 - INFO - __main__ - Replacing MoE layers with dense layers using selected experts...
+2025-07-11 01:12:58 - INFO - __main__ - MoE layers replaced with Dense MLP layers
+2025-07-11 01:12:58 - INFO - __main__ - Model memory after replacing MoE with dense:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 01:12:58 - INFO - __main__ - Initializing EfficientDistillationTrainer...
+2025-07-11 01:13:36 - INFO - __main__ - Model memory after trainer initialization:Memory allocated: 31126.0048828125
+Memory reserved: 36896.0
+2025-07-11 01:13:36 - INFO - __main__ - *** Starting training ***
+2025-07-11 01:13:36 - INFO - __main__ - Model architecture: DeepseekV2ForCausalLM(
+  (model): DeepseekV2Model(
+    (embed_tokens): Embedding(102400, 2048)
+    (layers): ModuleList(
+      (0): DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MLP(
+          (gate_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (up_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (down_proj): Linear(in_features=10944, out_features=2048, bias=False)
+          (act_fn): SiLU()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+      (1-26): 26 x DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MoE(
+          (gate): MoEGate()
+          (shared_experts): DeepseekV2MLP(
+            (gate_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (up_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (down_proj): Linear(in_features=2816, out_features=2048, bias=False)
+            (act_fn): SiLU()
+          )
+          (selected_experts): ModuleList(
+            (0-5): 6 x DeepseekV2MLP(
+              (gate_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (down_proj): Linear(in_features=1408, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+          (experts): ModuleList()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+    )
+    (norm): DeepseekV2RMSNorm()
+  )
+  (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
+)
+2025-07-11 06:48:58 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 06:48:58 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 06:48:58 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_06-48-57_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=4096,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=4,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 06:48:58 - INFO - __main__ - *** Initializing model kwargs ***
+2025-07-11 06:48:58 - INFO - __main__ - Loaded top k experts from /home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/top_6_experts_lmms-lab_Math10K.json: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-07-11 06:48:58 - INFO - __main__ - Model memory before loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 06:49:09 - INFO - __main__ - Model memory after loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 06:49:09 - INFO - __main__ - Replacing MoE layers with dense layers using selected experts...
+2025-07-11 06:49:22 - INFO - __main__ - MoE layers replaced with Dense MLP layers
+2025-07-11 06:49:22 - INFO - __main__ - Model memory after replacing MoE with dense:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 06:49:22 - INFO - __main__ - Initializing EfficientDistillationTrainer...
+2025-07-11 06:49:50 - INFO - __main__ - Model memory after trainer initialization:Memory allocated: 31126.0048828125
+Memory reserved: 36896.0
+2025-07-11 06:49:50 - INFO - __main__ - *** Starting training ***
+2025-07-11 06:49:50 - INFO - __main__ - Model architecture: DeepseekV2ForCausalLM(
+  (model): DeepseekV2Model(
+    (embed_tokens): Embedding(102400, 2048)
+    (layers): ModuleList(
+      (0): DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MLP(
+          (gate_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (up_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (down_proj): Linear(in_features=10944, out_features=2048, bias=False)
+          (act_fn): SiLU()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+      (1-26): 26 x DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MoE(
+          (gate): MoEGate()
+          (shared_experts): DeepseekV2MLP(
+            (gate_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (up_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (down_proj): Linear(in_features=2816, out_features=2048, bias=False)
+            (act_fn): SiLU()
+          )
+          (selected_experts): ModuleList(
+            (0-5): 6 x DeepseekV2MLP(
+              (gate_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (down_proj): Linear(in_features=1408, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+          (experts): ModuleList()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+    )
+    (norm): DeepseekV2RMSNorm()
+  )
+  (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
+)
+2025-07-11 06:57:54 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 06:57:54 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 06:57:54 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_06-57-54_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=4096,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=4,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 06:57:56 - INFO - __main__ - *** Initializing model kwargs ***
+2025-07-11 06:57:56 - INFO - __main__ - Loaded top k experts from /home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/top_6_experts_lmms-lab_Math10K.json: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-07-11 06:57:56 - INFO - __main__ - Model memory before loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 06:58:06 - INFO - __main__ - Model memory after loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 06:58:06 - INFO - __main__ - Replacing MoE layers with dense layers using selected experts...
+2025-07-11 06:58:19 - INFO - __main__ - MoE layers replaced with Dense MLP layers
+2025-07-11 06:58:19 - INFO - __main__ - Model memory after replacing MoE with dense:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 06:58:19 - INFO - __main__ - Initializing EfficientDistillationTrainer...
+2025-07-11 06:58:47 - INFO - __main__ - Model memory after trainer initialization:Memory allocated: 31126.0048828125
+Memory reserved: 36896.0
+2025-07-11 06:58:47 - INFO - __main__ - *** Starting training ***
+2025-07-11 06:58:47 - INFO - __main__ - Model architecture: DeepseekV2ForCausalLM(
+  (model): DeepseekV2Model(
+    (embed_tokens): Embedding(102400, 2048)
+    (layers): ModuleList(
+      (0): DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MLP(
+          (gate_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (up_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (down_proj): Linear(in_features=10944, out_features=2048, bias=False)
+          (act_fn): SiLU()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+      (1-26): 26 x DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MoE(
+          (gate): MoEGate()
+          (shared_experts): DeepseekV2MLP(
+            (gate_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (up_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (down_proj): Linear(in_features=2816, out_features=2048, bias=False)
+            (act_fn): SiLU()
+          )
+          (selected_experts): ModuleList(
+            (0-5): 6 x DeepseekV2MLP(
+              (gate_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (down_proj): Linear(in_features=1408, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+          (experts): ModuleList()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+    )
+    (norm): DeepseekV2RMSNorm()
+  )
+  (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
+)
+2025-07-11 07:10:39 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 07:10:39 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 07:10:39 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_07-10-38_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=4096,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=4,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 07:10:40 - INFO - __main__ - *** Initializing model kwargs ***
+2025-07-11 07:10:40 - INFO - __main__ - Loaded top k experts from /home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/top_6_experts_lmms-lab_Math10K.json: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-07-11 07:10:40 - INFO - __main__ - Model memory before loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 07:10:51 - INFO - __main__ - Model memory after loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 07:10:51 - INFO - __main__ - Replacing MoE layers with dense layers using selected experts...
+2025-07-11 07:11:03 - INFO - __main__ - MoE layers replaced with Dense MLP layers
+2025-07-11 07:11:03 - INFO - __main__ - Model memory after replacing MoE with dense:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 07:11:04 - INFO - __main__ - Initializing EfficientDistillationTrainer...
+2025-07-11 07:11:33 - INFO - __main__ - Model memory after trainer initialization:Memory allocated: 31126.0048828125
+Memory reserved: 36896.0
+2025-07-11 07:11:33 - INFO - __main__ - *** Starting training ***
+2025-07-11 07:11:33 - INFO - __main__ - Model architecture: DeepseekV2ForCausalLM(
+  (model): DeepseekV2Model(
+    (embed_tokens): Embedding(102400, 2048)
+    (layers): ModuleList(
+      (0): DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MLP(
+          (gate_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (up_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (down_proj): Linear(in_features=10944, out_features=2048, bias=False)
+          (act_fn): SiLU()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+      (1-26): 26 x DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MoE(
+          (gate): MoEGate()
+          (shared_experts): DeepseekV2MLP(
+            (gate_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (up_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (down_proj): Linear(in_features=2816, out_features=2048, bias=False)
+            (act_fn): SiLU()
+          )
+          (selected_experts): ModuleList(
+            (0-5): 6 x DeepseekV2MLP(
+              (gate_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (down_proj): Linear(in_features=1408, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+          (experts): ModuleList()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+    )
+    (norm): DeepseekV2RMSNorm()
+  )
+  (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
+)
+2025-07-11 07:19:36 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 07:19:36 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 07:19:36 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=2,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_07-19-36_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=4096,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=2,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 07:19:37 - INFO - __main__ - *** Initializing model kwargs ***
+2025-07-11 07:19:37 - INFO - __main__ - Loaded top k experts from /home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/top_6_experts_lmms-lab_Math10K.json: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-07-11 07:19:37 - INFO - __main__ - Model memory before loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 07:19:48 - INFO - __main__ - Model memory after loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 07:19:48 - INFO - __main__ - Replacing MoE layers with dense layers using selected experts...
+2025-07-11 07:20:01 - INFO - __main__ - MoE layers replaced with Dense MLP layers
+2025-07-11 07:20:01 - INFO - __main__ - Model memory after replacing MoE with dense:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 07:20:01 - INFO - __main__ - Initializing EfficientDistillationTrainer...
+2025-07-11 07:20:31 - INFO - __main__ - Model memory after trainer initialization:Memory allocated: 31126.0048828125
+Memory reserved: 36896.0
+2025-07-11 07:20:31 - INFO - __main__ - *** Starting training ***
+2025-07-11 07:20:31 - INFO - __main__ - Model architecture: DeepseekV2ForCausalLM(
+  (model): DeepseekV2Model(
+    (embed_tokens): Embedding(102400, 2048)
+    (layers): ModuleList(
+      (0): DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MLP(
+          (gate_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (up_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (down_proj): Linear(in_features=10944, out_features=2048, bias=False)
+          (act_fn): SiLU()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+      (1-26): 26 x DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MoE(
+          (gate): MoEGate()
+          (shared_experts): DeepseekV2MLP(
+            (gate_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (up_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (down_proj): Linear(in_features=2816, out_features=2048, bias=False)
+            (act_fn): SiLU()
+          )
+          (selected_experts): ModuleList(
+            (0-5): 6 x DeepseekV2MLP(
+              (gate_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (down_proj): Linear(in_features=1408, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+          (experts): ModuleList()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+    )
+    (norm): DeepseekV2RMSNorm()
+  )
+  (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
+)
+2025-07-11 17:48:02 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, use_dora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-07-11 17:48:02 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-07-11 17:48:02 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+alpha=0.5,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+ce_loss_scale=1.0,
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+completion_only_loss=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eos_token=<EOS_TOKEN>,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+expert_num=6,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=2,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Math10K-Distill-6-experts-test-may,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+kl_loss_scale=1.0,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=1e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/runs/Jul11_17-48-02_ip-172-31-67-236,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=token_specific,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=4096,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+pad_to_multiple_of=None,
+pad_token=<PAD_TOKEN>,
+padding_free=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=2,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=100,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=1,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-07-11 17:48:03 - INFO - __main__ - *** Initializing model kwargs ***
+2025-07-11 17:48:03 - INFO - __main__ - Loaded top k experts from /home/ubuntu/sft_models/data/DeepSeek-Coder-V2-Lite-Instruct/distill/math10K/6_experts_test_may/top_6_experts_lmms-lab_Math10K.json: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-07-11 17:48:03 - INFO - __main__ - Model memory before loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 17:48:13 - INFO - __main__ - Model memory after loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 17:48:13 - INFO - __main__ - Replacing MoE layers with dense layers using selected experts...
+2025-07-11 17:48:26 - INFO - __main__ - MoE layers replaced with Dense MLP layers
+2025-07-11 17:48:26 - INFO - __main__ - Model memory after replacing MoE with dense:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-07-11 17:48:26 - INFO - __main__ - Initializing EfficientDistillationTrainer...
+2025-07-11 17:48:53 - INFO - __main__ - Model memory after trainer initialization:Memory allocated: 31126.0048828125
+Memory reserved: 36896.0
+2025-07-11 17:48:53 - INFO - __main__ - *** Starting training ***
+2025-07-11 17:48:53 - INFO - __main__ - Model architecture: DeepseekV2ForCausalLM(
+  (model): DeepseekV2Model(
+    (embed_tokens): Embedding(102400, 2048)
+    (layers): ModuleList(
+      (0): DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MLP(
+          (gate_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (up_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (down_proj): Linear(in_features=10944, out_features=2048, bias=False)
+          (act_fn): SiLU()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+      (1-26): 26 x DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MoE(
+          (gate): MoEGate()
+          (shared_experts): DeepseekV2MLP(
+            (gate_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (up_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (down_proj): Linear(in_features=2816, out_features=2048, bias=False)
+            (act_fn): SiLU()
+          )
+          (selected_experts): ModuleList(
+            (0-5): 6 x DeepseekV2MLP(
+              (gate_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (down_proj): Linear(in_features=1408, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+          (experts): ModuleList()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+    )
+    (norm): DeepseekV2RMSNorm()
+  )
+  (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
+)

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d11f75edb31adcd5e06b84a9f8b40410ec6468eff322179e3166e266ad80038
+size 8184