proweb-checkpoints to hf at time 2026-01-01 09:45:42

llama3-1b-proweb-50ksteps/final/config.json

@@ -0,0 +1,35 @@
+{
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+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
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+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.0.dev0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

llama3-1b-proweb-50ksteps/final/generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.45.0.dev0",
+  "do_sample": true,
+  "temperature": 0.6,
+  "top_p": 0.9
+}

llama3-1b-proweb-50ksteps/final/hyperparameters.yaml

@@ -0,0 +1,57 @@
+model_name: Llama-3.2-1B
+out_dir: /home/aiops/zhuty/litgpt_out/pretrain/llama3-1b-proweb-50ksteps
+precision: bf16-mixed
+initial_checkpoint_dir: checkpoints/meta-llama/Llama-3.2-1B
+resume: auto
+data:
+  class_path: litgpt.data.TextFiles
+  init_args:
+    train_data_path: /home/aiops/zhuty/cont_data/proweb/train
+    val_data_path: /home/aiops/zhuty/cont_data/proweb/test
+    seed: 42
+    num_workers: 8
+    add_eos: true
+train:
+  save_interval: 2500
+  save_optimizer_state: true
+  max_optimizer_state: 1
+  log_interval: 1
+  global_batch_size: 1024
+  micro_batch_size: 8
+  lr_warmup_fraction: 0.01
+  max_steps: 50000
+  max_seq_length: 1024
+  max_norm: 1.0
+  min_lr: 5.0e-06
+eval:
+  interval: 1000
+  max_iters: 100
+  initial_validation: true
+  final_validation: true
+  evaluate_example: first
+  num_generation_examples: 1
+  calculate_exact_match: false
+log:
+  project: mathcont
+optimizer:
+  class_path: torch.optim.AdamW
+  init_args:
+    lr: 5.0e-05
+    weight_decay: 0.1
+    betas:
+    - 0.9
+    - 0.95
+devices: auto
+num_nodes: 1
+tokenizer_dir: checkpoints/meta-llama/Llama-3.2-1B
+logger_name: wandb
+seed: 42
+compiler: torch
+executors:
+- sdpa
+- torchcompile
+- torch
+strategy: fsdp
+diffusion: false
+mask_token_id: 811
+sampling_eps: 0.001

llama3-1b-proweb-50ksteps/final/model_config.yaml

@@ -0,0 +1,48 @@
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+attention_scores_scalar: null
+attn_bias: false
+bias: false
+block_size: 131072
+final_logit_softcapping: null
+gelu_approximate: none
+head_size: 64
+hf_config:
+  name: Llama-3.2-1B
+  org: meta-llama
+intermediate_size: 8192
+lm_head_bias: false
+mlp_class_name: LLaMAMLP
+moe_intermediate_size: null
+n_embd: 2048
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+n_expert_per_token: 0
+n_head: 32
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+name: Llama-3.2-1B
+norm_1: true
+norm_2: true
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+norm_eps: 1.0e-05
+norm_qk: false
+norm_qk_type: default
+padded_vocab_size: 128256
+padding_multiple: 512
+parallel_residual: false
+post_attention_norm: false
+post_mlp_norm: false
+rope_adjustments:
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+  high_freq_factor: 4.0
+  low_freq_factor: 1.0
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+rope_base: 500000
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+rotary_percentage: 1.0
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+shared_attention_norm: false
+sliding_window_indices: null
+sliding_window_size: null
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llama3-1b-proweb-50ksteps/step-00002500/config.json

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llama3-1b-proweb-50ksteps/step-00002500/generation_config.json

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+{
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llama3-1b-proweb-50ksteps/step-00002500/hyperparameters.yaml

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+out_dir: /home/aiops/zhuty/litgpt_out/pretrain/llama3-1b-proweb-50ksteps
+precision: bf16-mixed
+initial_checkpoint_dir: checkpoints/meta-llama/Llama-3.2-1B
+resume: auto
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+    val_data_path: /home/aiops/zhuty/cont_data/proweb/test
+    seed: 42
+    num_workers: 8
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+  evaluate_example: first
+  num_generation_examples: 1
+  calculate_exact_match: false
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+compiler: torch
+executors:
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+- torch
+strategy: fsdp
+diffusion: false
+mask_token_id: 811
+sampling_eps: 0.001

llama3-1b-proweb-50ksteps/step-00002500/model_config.yaml

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llama3-1b-proweb-50ksteps/step-00002500_hf/config.json

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+{
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+  "rms_norm_eps": 1e-05,
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+  "use_cache": true,
+  "vocab_size": 128256
+}

llama3-1b-proweb-50ksteps/step-00002500_hf/generation_config.json

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+{
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+  "bos_token_id": 128000,
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+  "temperature": 0.6,
+  "top_p": 0.9
+}

llama3-1b-proweb-50ksteps/step-00002500_hf/harness_eval_0shot/__home__aiops__zhuty__litgpt_out__pretrain__llama3-1b-proweb-50ksteps__step-00002500_hf/results_2025-11-24T02-43-45.375493.json

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+      "doc_to_text": "Question: {{question}}\nAnswer:",
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:        Mitigation; Full AMD retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling\nVulnerability Srbds:             Not affected\nVulnerability Tsx async abort:   Not affected\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.6.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.6.80\n[pip3] nvidia-cuda-nvrtc-cu12==12.6.77\n[pip3] nvidia-cuda-runtime-cu12==12.6.77\n[pip3] nvidia-cudnn-cu12==9.5.1.17\n[pip3] nvidia-cufft-cu12==11.3.0.4\n[pip3] nvidia-curand-cu12==10.3.7.77\n[pip3] nvidia-cusolver-cu12==11.7.1.2\n[pip3] nvidia-cusparse-cu12==12.5.4.2\n[pip3] nvidia-cusparselt-cu12==0.6.3\n[pip3] nvidia-nccl-cu12==2.26.2\n[pip3] nvidia-nvjitlink-cu12==12.6.85\n[pip3] nvidia-nvtx-cu12==12.6.77\n[pip3] optree==0.16.0\n[pip3] pytorch-lightning==2.5.1.post0\n[pip3] torch==2.7.1\n[pip3] torchmetrics==1.7.2\n[pip3] torchvision==0.22.1\n[pip3] triton==3.3.1\n[conda] numpy                     1.26.4                   pypi_0    pypi\n[conda] nvidia-cublas-cu12        12.6.4.1                 pypi_0    pypi\n[conda] nvidia-cuda-cupti-cu12    12.6.80                  pypi_0    pypi\n[conda] nvidia-cuda-nvrtc-cu12    12.6.77                  pypi_0    pypi\n[conda] nvidia-cuda-runtime-cu12  12.6.77                  pypi_0    pypi\n[conda] nvidia-cudnn-cu12         9.5.1.17                 pypi_0    pypi\n[conda] nvidia-cufft-cu12         11.3.0.4                 pypi_0    pypi\n[conda] nvidia-curand-cu12        10.3.7.77                pypi_0    pypi\n[conda] nvidia-cusolver-cu12      11.7.1.2                 pypi_0    pypi\n[conda] nvidia-cusparse-cu12      12.5.4.2                 pypi_0    pypi\n[conda] nvidia-cusparselt-cu12    0.6.3                    pypi_0    pypi\n[conda] nvidia-nccl-cu12          2.26.2                   pypi_0    pypi\n[conda] nvidia-nvjitlink-cu12     12.6.85                  pypi_0    pypi\n[conda] nvidia-nvtx-cu12          12.6.77                  pypi_0    pypi\n[conda] optree                    0.16.0                   pypi_0    pypi\n[conda] pytorch-lightning         2.5.1.post0              pypi_0    pypi\n[conda] torch                     2.7.1                    pypi_0    pypi\n[conda] torchmetrics              1.7.2                    pypi_0    pypi\n[conda] torchvision               0.22.1                   pypi_0    pypi\n[conda] triton                    3.3.1                    pypi_0    pypi",
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+    "128001"
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+    "<|begin_of_text|>",
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llama3-1b-proweb-50ksteps/step-00002500_hf/harness_eval_0shot/__home__aiops__zhuty__litgpt_out__pretrain__llama3-1b-proweb-50ksteps__step-00002500_hf/results_2025-11-24T05-16-10.086766.json

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+}

llama3-1b-proweb-50ksteps/step-00002500_hf/harness_eval_5shot/__home__aiops__zhuty__litgpt_out__pretrain__llama3-1b-proweb-50ksteps__step-00002500_hf/results_2025-11-24T03-00-43.986572.json

@@ -0,0 +1,226 @@
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+}

llama3-1b-proweb-50ksteps/step-00002500_hf/tokenizer_config.json

@@ -0,0 +1,2061 @@
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llama3-1b-proweb-50ksteps/step-00005000/config.json

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llama3-1b-proweb-50ksteps/step-00005000/generation_config.json

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+{
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llama3-1b-proweb-50ksteps/step-00005000/hyperparameters.yaml

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+out_dir: /home/aiops/zhuty/litgpt_out/pretrain/llama3-1b-proweb-50ksteps
+precision: bf16-mixed
+initial_checkpoint_dir: checkpoints/meta-llama/Llama-3.2-1B
+resume: auto
+data:
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+  init_args:
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+    val_data_path: /home/aiops/zhuty/cont_data/proweb/test
+    seed: 42
+    num_workers: 8
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+  final_validation: true
+  evaluate_example: first
+  num_generation_examples: 1
+  calculate_exact_match: false
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+compiler: torch
+executors:
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+- torchcompile
+- torch
+strategy: fsdp
+diffusion: false
+mask_token_id: 811
+sampling_eps: 0.001

llama3-1b-proweb-50ksteps/step-00005000/model_config.yaml

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llama3-1b-proweb-50ksteps/step-00005000_hf/config.json

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+{
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+}

llama3-1b-proweb-50ksteps/step-00005000_hf/generation_config.json

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+{
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+  "transformers_version": "4.45.0.dev0",
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+  "top_p": 0.9
+}

llama3-1b-proweb-50ksteps/step-00005000_hf/harness_eval_0shot/__home__aiops__zhuty__litgpt_out__pretrain__llama3-1b-proweb-50ksteps__step-00005000_hf/results_2025-11-24T05-16-09.468247.json

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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:           Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected\nVulnerability Srbds:                Not affected\nVulnerability Tsx async abort:      Not affected\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.6.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.6.80\n[pip3] nvidia-cuda-nvrtc-cu12==12.6.77\n[pip3] nvidia-cuda-runtime-cu12==12.6.77\n[pip3] nvidia-cudnn-cu12==9.5.1.17\n[pip3] nvidia-cufft-cu12==11.3.0.4\n[pip3] nvidia-curand-cu12==10.3.7.77\n[pip3] nvidia-cusolver-cu12==11.7.1.2\n[pip3] nvidia-cusparse-cu12==12.5.4.2\n[pip3] nvidia-cusparselt-cu12==0.6.3\n[pip3] nvidia-nccl-cu12==2.26.2\n[pip3] nvidia-nvjitlink-cu12==12.6.85\n[pip3] nvidia-nvtx-cu12==12.6.77\n[pip3] optree==0.16.0\n[pip3] pytorch-lightning==2.5.1.post0\n[pip3] torch==2.7.1\n[pip3] torchmetrics==1.7.2\n[pip3] torchvision==0.22.1\n[pip3] triton==3.3.1\n[conda] numpy                     1.26.4                   pypi_0    pypi\n[conda] nvidia-cublas-cu12        12.6.4.1                 pypi_0    pypi\n[conda] nvidia-cuda-cupti-cu12    12.6.80                  pypi_0    pypi\n[conda] nvidia-cuda-nvrtc-cu12    12.6.77                  pypi_0    pypi\n[conda] nvidia-cuda-runtime-cu12  12.6.77                  pypi_0    pypi\n[conda] nvidia-cudnn-cu12         9.5.1.17                 pypi_0    pypi\n[conda] nvidia-cufft-cu12         11.3.0.4                 pypi_0    pypi\n[conda] nvidia-curand-cu12        10.3.7.77                pypi_0    pypi\n[conda] nvidia-cusolver-cu12      11.7.1.2                 pypi_0    pypi\n[conda] nvidia-cusparse-cu12      12.5.4.2                 pypi_0    pypi\n[conda] nvidia-cusparselt-cu12    0.6.3                    pypi_0    pypi\n[conda] nvidia-nccl-cu12          2.26.2                   pypi_0    pypi\n[conda] nvidia-nvjitlink-cu12     12.6.85                  pypi_0    pypi\n[conda] nvidia-nvtx-cu12          12.6.77                  pypi_0    pypi\n[conda] optree                    0.16.0                   pypi_0    pypi\n[conda] pytorch-lightning         2.5.1.post0              pypi_0    pypi\n[conda] torch                     2.7.1                    pypi_0    pypi\n[conda] torchmetrics              1.7.2                    pypi_0    pypi\n[conda] torchvision               0.22.1                   pypi_0    pypi\n[conda] triton                    3.3.1                    pypi_0    pypi",
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+  "tokenizer_pad_token": [
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+    "128001"
+  ],
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+    "<|begin_of_text|>",
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+  "model_source": "hf",
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+  "fewshot_as_multiturn": false,
+  "chat_template": null,
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+}

llama3-1b-proweb-50ksteps/step-00005000_hf/harness_eval_5shot/__home__aiops__zhuty__litgpt_out__pretrain__llama3-1b-proweb-50ksteps__step-00005000_hf/results_2025-11-24T04-57-39.449230.json

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+{
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+      "exact_match_stderr,flexible-extract": 0.0030152942428909456
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+      "pass@1,create_test": 0.0,
+      "pass@1_stderr,create_test": 0.0
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+  "configs": {
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+      "tag": [
+        "math_word_problems"
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+      "doc_to_target": "{{answer}}",
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+      "description": "",
+      "target_delimiter": " ",
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+      "metric_list": [
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+            "(?s).*#### ",
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+          "</s>",
+          "<|im_end|>"
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+        "temperature": 0.0
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+      "filter_list": [
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+    "model_dtype": "torch.bfloat16",
+    "model_revision": "main",
+    "model_sha": "",
+    "batch_size": "64",
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+    "use_cache": null,
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untrained return thunk; SMT enabled with STIBP protection\nVulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:        Mitigation; Retpolines, IBPB conditional, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected\nVulnerability Srbds:             Not affected\nVulnerability Tsx async abort:   Not affected\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.6.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.6.80\n[pip3] nvidia-cuda-nvrtc-cu12==12.6.77\n[pip3] nvidia-cuda-runtime-cu12==12.6.77\n[pip3] nvidia-cudnn-cu12==9.5.1.17\n[pip3] nvidia-cufft-cu12==11.3.0.4\n[pip3] nvidia-curand-cu12==10.3.7.77\n[pip3] nvidia-cusolver-cu12==11.7.1.2\n[pip3] nvidia-cusparse-cu12==12.5.4.2\n[pip3] nvidia-cusparselt-cu12==0.6.3\n[pip3] nvidia-nccl-cu12==2.26.2\n[pip3] nvidia-nvjitlink-cu12==12.6.85\n[pip3] nvidia-nvtx-cu12==12.6.77\n[pip3] optree==0.16.0\n[pip3] pytorch-lightning==2.5.1.post0\n[pip3] torch==2.7.1\n[pip3] torchmetrics==1.7.2\n[pip3] torchvision==0.22.1\n[pip3] triton==3.3.1\n[conda] numpy                     1.26.4                   pypi_0    pypi\n[conda] nvidia-cublas-cu12        12.6.4.1                 pypi_0    pypi\n[conda] nvidia-cuda-cupti-cu12    12.6.80                  pypi_0    pypi\n[conda] nvidia-cuda-nvrtc-cu12    12.6.77                  pypi_0    pypi\n[conda] nvidia-cuda-runtime-cu12  12.6.77                  pypi_0    pypi\n[conda] nvidia-cudnn-cu12         9.5.1.17                 pypi_0    pypi\n[conda] nvidia-cufft-cu12         11.3.0.4                 pypi_0    pypi\n[conda] nvidia-curand-cu12        10.3.7.77                pypi_0    pypi\n[conda] nvidia-cusolver-cu12      11.7.1.2                 pypi_0    pypi\n[conda] nvidia-cusparse-cu12      12.5.4.2                 pypi_0    pypi\n[conda] nvidia-cusparselt-cu12    0.6.3                    pypi_0    pypi\n[conda] nvidia-nccl-cu12          2.26.2                   pypi_0    pypi\n[conda] nvidia-nvjitlink-cu12     12.6.85                  pypi_0    pypi\n[conda] nvidia-nvtx-cu12          12.6.77                  pypi_0    pypi\n[conda] optree                    0.16.0                   pypi_0    pypi\n[conda] pytorch-lightning         2.5.1.post0              pypi_0    pypi\n[conda] torch                     2.7.1                    pypi_0    pypi\n[conda] torchmetrics              1.7.2                    pypi_0    pypi\n[conda] torchvision               0.22.1                   pypi_0    pypi\n[conda] triton                    3.3.1                    pypi_0    pypi",
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+    "128001"
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+    "<|begin_of_text|>",
+    "128000"
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+  "model_source": "hf",
+  "model_name": "/home/aiops/zhuty/litgpt_out/pretrain/llama3-1b-proweb-50ksteps/step-00005000_hf",
+  "model_name_sanitized": "__home__aiops__zhuty__litgpt_out__pretrain__llama3-1b-proweb-50ksteps__step-00005000_hf",
+  "system_instruction": null,
+  "system_instruction_sha": null,
+  "fewshot_as_multiturn": false,
+  "chat_template": null,
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+}

llama3-1b-proweb-50ksteps/step-00005000_hf/model.safetensors

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+oid sha256:46a363862f5f7d06728cdc6f8bc1d2e2327bd0f9cde91d20e89d968a7e92ace2
+size 2471645608

llama3-1b-proweb-50ksteps/step-00005000_hf/original/params.json

@@ -0,0 +1,12 @@
+{
+  "dim": 2048,
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+  "multiple_of": 256,
+  "n_heads": 32,
+  "n_kv_heads": 8,
+  "n_layers": 16,
+  "norm_eps": 1e-05,
+  "rope_theta": 500000.0,
+  "use_scaled_rope": true,
+  "vocab_size": 128256
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llama3-1b-proweb-50ksteps/step-00005000_hf/original/tokenizer.model

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llama3-1b-proweb-50ksteps/step-00005000_hf/special_tokens_map.json

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llama3-1b-proweb-50ksteps/step-00007500/config.json

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+}

llama3-1b-proweb-50ksteps/step-00007500/generation_config.json

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