Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text

checkpoint-100/added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

checkpoint-100/chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

checkpoint-100/config.json

@@ -0,0 +1,51 @@
+{
+  "_name_or_path": "Qwen/Qwen2.5-VL-3B-Instruct",
+  "architectures": [
+    "Qwen2_5_VLForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "image_token_id": 151655,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 128000,
+  "max_window_layers": 70,
+  "model_type": "qwen2_5_vl",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "mrope_section": [
+      16,
+      24,
+      24
+    ],
+    "rope_type": "default",
+    "type": "default"
+  },
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0.dev0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "video_token_id": 151656,
+  "vision_config": {
+    "hidden_size": 1280,
+    "in_chans": 3,
+    "model_type": "qwen2_5_vl",
+    "out_hidden_size": 2048,
+    "spatial_patch_size": 14,
+    "tokens_per_second": 2,
+    "torch_dtype": "float32"
+  },
+  "vision_end_token_id": 151653,
+  "vision_start_token_id": 151652,
+  "vision_token_id": 151654,
+  "vocab_size": 151936
+}

checkpoint-100/generation_config.json

@@ -0,0 +1,16 @@
+{
+  "attn_implementation": "flash_attention_2",
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.1,
+  "top_k": 1,
+  "top_p": 0.001,
+  "transformers_version": "4.50.0.dev0",
+  "use_cache": false
+}

checkpoint-100/model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7ac889eb320bd38876e61d1c1d8621049dca7455cae69ab996502bae218236f
+size 4997750760

checkpoint-100/model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef4e44a83db2bcffe7265720b9e690f71fd400607ba55a129fa95dff4e65b1a5
+size 2511587184

checkpoint-100/model.safetensors.index.json

@@ -0,0 +1,831 @@
+{
+  "metadata": {
+    "total_size": 7509245952
+  },
+  "weight_map": {
+    "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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.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.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.k_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.bias": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.norm.weight": "model-00002-of-00002.safetensors",
+    "visual.blocks.0.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.merger.ln_q.weight": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.0.bias": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.0.weight": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.2.bias": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.2.weight": "model-00001-of-00002.safetensors",
+    "visual.patch_embed.proj.weight": "model-00001-of-00002.safetensors"
+  }
+}

checkpoint-100/preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 401408,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2_5_VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 12845056,
+    "shortest_edge": 3136
+  },
+  "temporal_patch_size": 2
+}

checkpoint-100/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-100/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
+size 11422063

checkpoint-100/tokenizer_config.json

@@ -0,0 +1,209 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "processor_class": "Qwen2_5_VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

checkpoint-100/trainer_state.json

@@ -0,0 +1,1333 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.00967305088024763,
+  "eval_steps": 500,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "completion_length": 101.8984375,
+      "epoch": 9.67305088024763e-05,
+      "grad_norm": 2.32728163610487,
+      "kl": 0.0,
+      "learning_rate": 9.999516347455987e-07,
+      "loss": 0.0,
+      "reward": 1.4375,
+      "reward_std": 0.5256750583648682,
+      "rewards/accuracy_reward": 0.578125,
+      "rewards/format_reward": 0.859375,
+      "step": 1
+    },
+    {
+      "completion_length": 94.296875,
+      "epoch": 0.0001934610176049526,
+      "grad_norm": 2.4117220362597704,
+      "kl": 0.0005168914794921875,
+      "learning_rate": 9.999032694911974e-07,
+      "loss": 0.0,
+      "reward": 1.3359375,
+      "reward_std": 0.5609308183193207,
+      "rewards/accuracy_reward": 0.640625,
+      "rewards/format_reward": 0.6953125,
+      "step": 2
+    },
+    {
+      "completion_length": 103.6171875,
+      "epoch": 0.0002901915264074289,
+      "grad_norm": 2.6870203168696194,
+      "kl": 0.001102447509765625,
+      "learning_rate": 9.998549042367962e-07,
+      "loss": 0.0,
+      "reward": 1.46875,
+      "reward_std": 0.5523095726966858,
+      "rewards/accuracy_reward": 0.5546875,
+      "rewards/format_reward": 0.9140625,
+      "step": 3
+    },
+    {
+      "completion_length": 103.2265625,
+      "epoch": 0.0003869220352099052,
+      "grad_norm": 3.289268811539874,
+      "kl": 0.001312255859375,
+      "learning_rate": 9.998065389823949e-07,
+      "loss": 0.0001,
+      "reward": 1.3828125,
+      "reward_std": 0.5850119292736053,
+      "rewards/accuracy_reward": 0.5,
+      "rewards/format_reward": 0.8828125,
+      "step": 4
+    },
+    {
+      "completion_length": 95.078125,
+      "epoch": 0.0004836525440123815,
+      "grad_norm": 3.4676494080868085,
+      "kl": 0.00283050537109375,
+      "learning_rate": 9.997581737279938e-07,
+      "loss": 0.0001,
+      "reward": 1.640625,
+      "reward_std": 0.4787983000278473,
+      "rewards/accuracy_reward": 0.7265625,
+      "rewards/format_reward": 0.9140625,
+      "step": 5
+    },
+    {
+      "completion_length": 94.0703125,
+      "epoch": 0.0005803830528148578,
+      "grad_norm": 2.136642051715881,
+      "kl": 0.0055389404296875,
+      "learning_rate": 9.997098084735926e-07,
+      "loss": 0.0002,
+      "reward": 1.625,
+      "reward_std": 0.5282997637987137,
+      "rewards/accuracy_reward": 0.7109375,
+      "rewards/format_reward": 0.9140625,
+      "step": 6
+    },
+    {
+      "completion_length": 95.5390625,
+      "epoch": 0.0006771135616173341,
+      "grad_norm": 2.227802492062461,
+      "kl": 0.0041351318359375,
+      "learning_rate": 9.996614432191913e-07,
+      "loss": 0.0002,
+      "reward": 1.5703125,
+      "reward_std": 0.47315794229507446,
+      "rewards/accuracy_reward": 0.6328125,
+      "rewards/format_reward": 0.9375,
+      "step": 7
+    },
+    {
+      "completion_length": 92.734375,
+      "epoch": 0.0007738440704198104,
+      "grad_norm": 3.9540910586565667,
+      "kl": 0.0067596435546875,
+      "learning_rate": 9.9961307796479e-07,
+      "loss": 0.0003,
+      "reward": 1.453125,
+      "reward_std": 0.5513157844543457,
+      "rewards/accuracy_reward": 0.578125,
+      "rewards/format_reward": 0.875,
+      "step": 8
+    },
+    {
+      "completion_length": 95.4609375,
+      "epoch": 0.0008705745792222867,
+      "grad_norm": 2.277169214459152,
+      "kl": 0.004730224609375,
+      "learning_rate": 9.995647127103888e-07,
+      "loss": 0.0002,
+      "reward": 1.640625,
+      "reward_std": 0.47120702266693115,
+      "rewards/accuracy_reward": 0.7109375,
+      "rewards/format_reward": 0.9296875,
+      "step": 9
+    },
+    {
+      "completion_length": 95.890625,
+      "epoch": 0.000967305088024763,
+      "grad_norm": 2.715836345654194,
+      "kl": 0.005645751953125,
+      "learning_rate": 9.995163474559875e-07,
+      "loss": 0.0002,
+      "reward": 1.453125,
+      "reward_std": 0.46409690380096436,
+      "rewards/accuracy_reward": 0.484375,
+      "rewards/format_reward": 0.96875,
+      "step": 10
+    },
+    {
+      "completion_length": 85.4765625,
+      "epoch": 0.0010640355968272394,
+      "grad_norm": 6.999726728005914,
+      "kl": 0.011322021484375,
+      "learning_rate": 9.994679822015862e-07,
+      "loss": 0.0005,
+      "reward": 1.5625,
+      "reward_std": 0.506556510925293,
+      "rewards/accuracy_reward": 0.59375,
+      "rewards/format_reward": 0.96875,
+      "step": 11
+    },
+    {
+      "completion_length": 75.5703125,
+      "epoch": 0.0011607661056297156,
+      "grad_norm": 2.143072298162728,
+      "kl": 0.00958251953125,
+      "learning_rate": 9.994196169471852e-07,
+      "loss": 0.0004,
+      "reward": 1.671875,
+      "reward_std": 0.305637001991272,
+      "rewards/accuracy_reward": 0.6796875,
+      "rewards/format_reward": 0.9921875,
+      "step": 12
+    },
+    {
+      "completion_length": 75.15625,
+      "epoch": 0.0012574966144321918,
+      "grad_norm": 3.4444032547065477,
+      "kl": 0.0086669921875,
+      "learning_rate": 9.99371251692784e-07,
+      "loss": 0.0003,
+      "reward": 1.671875,
+      "reward_std": 0.43638455867767334,
+      "rewards/accuracy_reward": 0.6953125,
+      "rewards/format_reward": 0.9765625,
+      "step": 13
+    },
+    {
+      "completion_length": 73.609375,
+      "epoch": 0.0013542271232346683,
+      "grad_norm": 4.318234911676206,
+      "kl": 0.16168212890625,
+      "learning_rate": 9.993228864383827e-07,
+      "loss": 0.0065,
+      "reward": 1.8203125,
+      "reward_std": 0.2869499623775482,
+      "rewards/accuracy_reward": 0.828125,
+      "rewards/format_reward": 0.9921875,
+      "step": 14
+    },
+    {
+      "completion_length": 77.53125,
+      "epoch": 0.0014509576320371445,
+      "grad_norm": 2.4229540687416615,
+      "kl": 0.02655029296875,
+      "learning_rate": 9.992745211839814e-07,
+      "loss": 0.0011,
+      "reward": 1.71875,
+      "reward_std": 0.374386265873909,
+      "rewards/accuracy_reward": 0.734375,
+      "rewards/format_reward": 0.984375,
+      "step": 15
+    },
+    {
+      "completion_length": 76.796875,
+      "epoch": 0.0015476881408396208,
+      "grad_norm": 2.1086002986586028,
+      "kl": 0.019073486328125,
+      "learning_rate": 9.992261559295801e-07,
+      "loss": 0.0008,
+      "reward": 1.8125,
+      "reward_std": 0.2964432090520859,
+      "rewards/accuracy_reward": 0.8125,
+      "rewards/format_reward": 1.0,
+      "step": 16
+    },
+    {
+      "completion_length": 78.5625,
+      "epoch": 0.0016444186496420972,
+      "grad_norm": 7.813042535077011,
+      "kl": 0.01275634765625,
+      "learning_rate": 9.991777906751789e-07,
+      "loss": 0.0005,
+      "reward": 1.515625,
+      "reward_std": 0.41770240664482117,
+      "rewards/accuracy_reward": 0.5234375,
+      "rewards/format_reward": 0.9921875,
+      "step": 17
+    },
+    {
+      "completion_length": 72.546875,
+      "epoch": 0.0017411491584445734,
+      "grad_norm": 2.058748456561744,
+      "kl": 0.0169677734375,
+      "learning_rate": 9.991294254207778e-07,
+      "loss": 0.0007,
+      "reward": 1.71875,
+      "reward_std": 0.40267257392406464,
+      "rewards/accuracy_reward": 0.734375,
+      "rewards/format_reward": 0.984375,
+      "step": 18
+    },
+    {
+      "completion_length": 75.9453125,
+      "epoch": 0.0018378796672470497,
+      "grad_norm": 1.9567380549324036,
+      "kl": 0.01763916015625,
+      "learning_rate": 9.990810601663763e-07,
+      "loss": 0.0007,
+      "reward": 1.71875,
+      "reward_std": 0.3778578191995621,
+      "rewards/accuracy_reward": 0.734375,
+      "rewards/format_reward": 0.984375,
+      "step": 19
+    },
+    {
+      "completion_length": 70.859375,
+      "epoch": 0.001934610176049526,
+      "grad_norm": 2.9734394355786566,
+      "kl": 0.0279541015625,
+      "learning_rate": 9.99032694911975e-07,
+      "loss": 0.0011,
+      "reward": 1.765625,
+      "reward_std": 0.36024925112724304,
+      "rewards/accuracy_reward": 0.7734375,
+      "rewards/format_reward": 0.9921875,
+      "step": 20
+    },
+    {
+      "completion_length": 70.9765625,
+      "epoch": 0.0020313406848520023,
+      "grad_norm": 5.237584038295644,
+      "kl": 0.0252685546875,
+      "learning_rate": 9.98984329657574e-07,
+      "loss": 0.001,
+      "reward": 1.7421875,
+      "reward_std": 0.29719971120357513,
+      "rewards/accuracy_reward": 0.75,
+      "rewards/format_reward": 0.9921875,
+      "step": 21
+    },
+    {
+      "completion_length": 66.875,
+      "epoch": 0.0021280711936544788,
+      "grad_norm": 1.8875711559595536,
+      "kl": 0.02392578125,
+      "learning_rate": 9.989359644031727e-07,
+      "loss": 0.001,
+      "reward": 1.7109375,
+      "reward_std": 0.2845958471298218,
+      "rewards/accuracy_reward": 0.71875,
+      "rewards/format_reward": 0.9921875,
+      "step": 22
+    },
+    {
+      "completion_length": 67.78125,
+      "epoch": 0.002224801702456955,
+      "grad_norm": 2.4127947583544898,
+      "kl": 0.0750732421875,
+      "learning_rate": 9.988875991487715e-07,
+      "loss": 0.003,
+      "reward": 1.765625,
+      "reward_std": 0.3253750801086426,
+      "rewards/accuracy_reward": 0.765625,
+      "rewards/format_reward": 1.0,
+      "step": 23
+    },
+    {
+      "completion_length": 69.3125,
+      "epoch": 0.0023215322112594312,
+      "grad_norm": 2.0045706926241076,
+      "kl": 0.0491943359375,
+      "learning_rate": 9.988392338943702e-07,
+      "loss": 0.002,
+      "reward": 1.65625,
+      "reward_std": 0.3323955237865448,
+      "rewards/accuracy_reward": 0.6640625,
+      "rewards/format_reward": 0.9921875,
+      "step": 24
+    },
+    {
+      "completion_length": 64.4296875,
+      "epoch": 0.0024182627200619077,
+      "grad_norm": 2.0518160638069354,
+      "kl": 0.037109375,
+      "learning_rate": 9.98790868639969e-07,
+      "loss": 0.0015,
+      "reward": 1.78125,
+      "reward_std": 0.3174794614315033,
+      "rewards/accuracy_reward": 0.7890625,
+      "rewards/format_reward": 0.9921875,
+      "step": 25
+    },
+    {
+      "completion_length": 63.90625,
+      "epoch": 0.0025149932288643837,
+      "grad_norm": 2.3307956486799584,
+      "kl": 0.042724609375,
+      "learning_rate": 9.987425033855677e-07,
+      "loss": 0.0017,
+      "reward": 1.78125,
+      "reward_std": 0.3350958526134491,
+      "rewards/accuracy_reward": 0.796875,
+      "rewards/format_reward": 0.984375,
+      "step": 26
+    },
+    {
+      "completion_length": 64.4609375,
+      "epoch": 0.00261172373766686,
+      "grad_norm": 2.5099214137943027,
+      "kl": 0.0430908203125,
+      "learning_rate": 9.986941381311666e-07,
+      "loss": 0.0017,
+      "reward": 1.6875,
+      "reward_std": 0.3600292205810547,
+      "rewards/accuracy_reward": 0.6953125,
+      "rewards/format_reward": 0.9921875,
+      "step": 27
+    },
+    {
+      "completion_length": 59.625,
+      "epoch": 0.0027084542464693366,
+      "grad_norm": 2.482566057952426,
+      "kl": 0.0484619140625,
+      "learning_rate": 9.986457728767654e-07,
+      "loss": 0.0019,
+      "reward": 1.75,
+      "reward_std": 0.33345144987106323,
+      "rewards/accuracy_reward": 0.765625,
+      "rewards/format_reward": 0.984375,
+      "step": 28
+    },
+    {
+      "completion_length": 64.046875,
+      "epoch": 0.0028051847552718126,
+      "grad_norm": 2.3396995268081224,
+      "kl": 0.0419921875,
+      "learning_rate": 9.98597407622364e-07,
+      "loss": 0.0017,
+      "reward": 1.640625,
+      "reward_std": 0.42347636818885803,
+      "rewards/accuracy_reward": 0.6484375,
+      "rewards/format_reward": 0.9921875,
+      "step": 29
+    },
+    {
+      "completion_length": 57.796875,
+      "epoch": 0.002901915264074289,
+      "grad_norm": 1.9834549525672387,
+      "kl": 0.03662109375,
+      "learning_rate": 9.985490423679628e-07,
+      "loss": 0.0015,
+      "reward": 1.8515625,
+      "reward_std": 0.21937325596809387,
+      "rewards/accuracy_reward": 0.8515625,
+      "rewards/format_reward": 1.0,
+      "step": 30
+    },
+    {
+      "completion_length": 59.40625,
+      "epoch": 0.0029986457728767655,
+      "grad_norm": 2.1428993036002755,
+      "kl": 0.0450439453125,
+      "learning_rate": 9.985006771135616e-07,
+      "loss": 0.0018,
+      "reward": 1.8515625,
+      "reward_std": 0.15991678833961487,
+      "rewards/accuracy_reward": 0.8515625,
+      "rewards/format_reward": 1.0,
+      "step": 31
+    },
+    {
+      "completion_length": 59.0703125,
+      "epoch": 0.0030953762816792415,
+      "grad_norm": 1.744931292499253,
+      "kl": 0.0435791015625,
+      "learning_rate": 9.984523118591603e-07,
+      "loss": 0.0017,
+      "reward": 1.828125,
+      "reward_std": 0.23934084177017212,
+      "rewards/accuracy_reward": 0.8359375,
+      "rewards/format_reward": 0.9921875,
+      "step": 32
+    },
+    {
+      "completion_length": 60.8984375,
+      "epoch": 0.003192106790481718,
+      "grad_norm": 6.227609607513973,
+      "kl": 0.0377197265625,
+      "learning_rate": 9.98403946604759e-07,
+      "loss": 0.0015,
+      "reward": 1.6796875,
+      "reward_std": 0.2664504945278168,
+      "rewards/accuracy_reward": 0.6796875,
+      "rewards/format_reward": 1.0,
+      "step": 33
+    },
+    {
+      "completion_length": 61.3359375,
+      "epoch": 0.0032888372992841944,
+      "grad_norm": 6.128138900713421,
+      "kl": 0.038330078125,
+      "learning_rate": 9.98355581350358e-07,
+      "loss": 0.0015,
+      "reward": 1.8515625,
+      "reward_std": 0.26502610743045807,
+      "rewards/accuracy_reward": 0.875,
+      "rewards/format_reward": 0.9765625,
+      "step": 34
+    },
+    {
+      "completion_length": 55.796875,
+      "epoch": 0.0033855678080866704,
+      "grad_norm": 2.268887670294983,
+      "kl": 0.0474853515625,
+      "learning_rate": 9.983072160959565e-07,
+      "loss": 0.0019,
+      "reward": 1.8359375,
+      "reward_std": 0.2685721516609192,
+      "rewards/accuracy_reward": 0.8359375,
+      "rewards/format_reward": 1.0,
+      "step": 35
+    },
+    {
+      "completion_length": 58.5625,
+      "epoch": 0.003482298316889147,
+      "grad_norm": 1.831179805291792,
+      "kl": 0.04833984375,
+      "learning_rate": 9.982588508415555e-07,
+      "loss": 0.0019,
+      "reward": 1.875,
+      "reward_std": 0.25513993203639984,
+      "rewards/accuracy_reward": 0.8828125,
+      "rewards/format_reward": 0.9921875,
+      "step": 36
+    },
+    {
+      "completion_length": 51.8828125,
+      "epoch": 0.0035790288256916233,
+      "grad_norm": 1.1643785087500524,
+      "kl": 0.0455322265625,
+      "learning_rate": 9.982104855871542e-07,
+      "loss": 0.0018,
+      "reward": 1.9140625,
+      "reward_std": 0.11784427426755428,
+      "rewards/accuracy_reward": 0.9140625,
+      "rewards/format_reward": 1.0,
+      "step": 37
+    },
+    {
+      "completion_length": 57.234375,
+      "epoch": 0.0036757593344940993,
+      "grad_norm": 3.851049516152568,
+      "kl": 0.068359375,
+      "learning_rate": 9.98162120332753e-07,
+      "loss": 0.0027,
+      "reward": 1.796875,
+      "reward_std": 0.23391559720039368,
+      "rewards/accuracy_reward": 0.8046875,
+      "rewards/format_reward": 0.9921875,
+      "step": 38
+    },
+    {
+      "completion_length": 61.3046875,
+      "epoch": 0.0037724898432965758,
+      "grad_norm": 2.407035797036174,
+      "kl": 0.0482177734375,
+      "learning_rate": 9.981137550783517e-07,
+      "loss": 0.0019,
+      "reward": 1.8203125,
+      "reward_std": 0.15991678833961487,
+      "rewards/accuracy_reward": 0.8203125,
+      "rewards/format_reward": 1.0,
+      "step": 39
+    },
+    {
+      "completion_length": 57.6328125,
+      "epoch": 0.003869220352099052,
+      "grad_norm": 7.117809923901703,
+      "kl": 0.056640625,
+      "learning_rate": 9.980653898239504e-07,
+      "loss": 0.0023,
+      "reward": 1.8359375,
+      "reward_std": 0.23805539309978485,
+      "rewards/accuracy_reward": 0.84375,
+      "rewards/format_reward": 0.9921875,
+      "step": 40
+    },
+    {
+      "completion_length": 51.109375,
+      "epoch": 0.003965950860901528,
+      "grad_norm": 3.338321735003842,
+      "kl": 0.066650390625,
+      "learning_rate": 9.980170245695491e-07,
+      "loss": 0.0027,
+      "reward": 1.8828125,
+      "reward_std": 0.22726888954639435,
+      "rewards/accuracy_reward": 0.890625,
+      "rewards/format_reward": 0.9921875,
+      "step": 41
+    },
+    {
+      "completion_length": 52.2421875,
+      "epoch": 0.004062681369704005,
+      "grad_norm": 5.272467713176707,
+      "kl": 0.05078125,
+      "learning_rate": 9.979686593151479e-07,
+      "loss": 0.002,
+      "reward": 1.875,
+      "reward_std": 0.18861131370067596,
+      "rewards/accuracy_reward": 0.8828125,
+      "rewards/format_reward": 0.9921875,
+      "step": 42
+    },
+    {
+      "completion_length": 55.8515625,
+      "epoch": 0.004159411878506481,
+      "grad_norm": 1.8587770107731327,
+      "kl": 0.0513916015625,
+      "learning_rate": 9.979202940607468e-07,
+      "loss": 0.0021,
+      "reward": 1.8671875,
+      "reward_std": 0.21778053790330887,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 1.0,
+      "step": 43
+    },
+    {
+      "completion_length": 57.75,
+      "epoch": 0.0042561423873089576,
+      "grad_norm": 1.3632678648207632,
+      "kl": 0.0679931640625,
+      "learning_rate": 9.978719288063455e-07,
+      "loss": 0.0027,
+      "reward": 1.8828125,
+      "reward_std": 0.16439256072044373,
+      "rewards/accuracy_reward": 0.890625,
+      "rewards/format_reward": 0.9921875,
+      "step": 44
+    },
+    {
+      "completion_length": 53.9375,
+      "epoch": 0.004352872896111433,
+      "grad_norm": 1.9297448374668549,
+      "kl": 0.0732421875,
+      "learning_rate": 9.978235635519443e-07,
+      "loss": 0.0029,
+      "reward": 1.7890625,
+      "reward_std": 0.23609422147274017,
+      "rewards/accuracy_reward": 0.796875,
+      "rewards/format_reward": 0.9921875,
+      "step": 45
+    },
+    {
+      "completion_length": 54.8984375,
+      "epoch": 0.00444960340491391,
+      "grad_norm": 1.592387021513692,
+      "kl": 0.0538330078125,
+      "learning_rate": 9.97775198297543e-07,
+      "loss": 0.0022,
+      "reward": 1.8671875,
+      "reward_std": 0.154142826795578,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 1.0,
+      "step": 46
+    },
+    {
+      "completion_length": 50.390625,
+      "epoch": 0.004546333913716386,
+      "grad_norm": 2.6280541201699132,
+      "kl": 0.104736328125,
+      "learning_rate": 9.977268330431417e-07,
+      "loss": 0.0042,
+      "reward": 1.90625,
+      "reward_std": 0.1643974632024765,
+      "rewards/accuracy_reward": 0.90625,
+      "rewards/format_reward": 1.0,
+      "step": 47
+    },
+    {
+      "completion_length": 54.1875,
+      "epoch": 0.0046430644225188625,
+      "grad_norm": 1.9173757301011318,
+      "kl": 0.0537109375,
+      "learning_rate": 9.976784677887405e-07,
+      "loss": 0.0021,
+      "reward": 1.8828125,
+      "reward_std": 0.16834919713437557,
+      "rewards/accuracy_reward": 0.890625,
+      "rewards/format_reward": 0.9921875,
+      "step": 48
+    },
+    {
+      "completion_length": 51.5625,
+      "epoch": 0.004739794931321339,
+      "grad_norm": 1.8246139342634278,
+      "kl": 0.074951171875,
+      "learning_rate": 9.976301025343394e-07,
+      "loss": 0.003,
+      "reward": 1.890625,
+      "reward_std": 0.1841355338692665,
+      "rewards/accuracy_reward": 0.8984375,
+      "rewards/format_reward": 0.9921875,
+      "step": 49
+    },
+    {
+      "completion_length": 54.515625,
+      "epoch": 0.004836525440123815,
+      "grad_norm": 3.434717946815584,
+      "kl": 0.185791015625,
+      "learning_rate": 9.97581737279938e-07,
+      "loss": 0.0075,
+      "reward": 1.875,
+      "reward_std": 0.2130674198269844,
+      "rewards/accuracy_reward": 0.8828125,
+      "rewards/format_reward": 0.9921875,
+      "step": 50
+    },
+    {
+      "completion_length": 52.9296875,
+      "epoch": 0.004933255948926291,
+      "grad_norm": 1.030484859998448,
+      "kl": 0.0589599609375,
+      "learning_rate": 9.975333720255367e-07,
+      "loss": 0.0024,
+      "reward": 1.9609375,
+      "reward_std": 0.0765409953892231,
+      "rewards/accuracy_reward": 0.96875,
+      "rewards/format_reward": 0.9921875,
+      "step": 51
+    },
+    {
+      "completion_length": 57.234375,
+      "epoch": 0.005029986457728767,
+      "grad_norm": 4.311249728707867,
+      "kl": 0.06787109375,
+      "learning_rate": 9.974850067711356e-07,
+      "loss": 0.0027,
+      "reward": 1.859375,
+      "reward_std": 0.19673937559127808,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 0.9921875,
+      "step": 52
+    },
+    {
+      "completion_length": 55.6328125,
+      "epoch": 0.005126716966531244,
+      "grad_norm": 2.1298896861044496,
+      "kl": 0.066162109375,
+      "learning_rate": 9.974366415167344e-07,
+      "loss": 0.0027,
+      "reward": 1.8515625,
+      "reward_std": 0.1633366346359253,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 0.984375,
+      "step": 53
+    },
+    {
+      "completion_length": 54.4765625,
+      "epoch": 0.00522344747533372,
+      "grad_norm": 2.8188687448085985,
+      "kl": 0.0665283203125,
+      "learning_rate": 9.97388276262333e-07,
+      "loss": 0.0027,
+      "reward": 1.8125,
+      "reward_std": 0.20357907563447952,
+      "rewards/accuracy_reward": 0.8125,
+      "rewards/format_reward": 1.0,
+      "step": 54
+    },
+    {
+      "completion_length": 53.5234375,
+      "epoch": 0.005320177984136197,
+      "grad_norm": 3.8394130424569513,
+      "kl": 0.0771484375,
+      "learning_rate": 9.973399110079318e-07,
+      "loss": 0.0031,
+      "reward": 1.8125,
+      "reward_std": 0.24758517742156982,
+      "rewards/accuracy_reward": 0.8203125,
+      "rewards/format_reward": 0.9921875,
+      "step": 55
+    },
+    {
+      "completion_length": 55.9609375,
+      "epoch": 0.005416908492938673,
+      "grad_norm": 1.6442486623089194,
+      "kl": 0.0545654296875,
+      "learning_rate": 9.972915457535306e-07,
+      "loss": 0.0022,
+      "reward": 1.890625,
+      "reward_std": 0.19568344950675964,
+      "rewards/accuracy_reward": 0.890625,
+      "rewards/format_reward": 1.0,
+      "step": 56
+    },
+    {
+      "completion_length": 57.609375,
+      "epoch": 0.005513639001741149,
+      "grad_norm": 2.380780380370499,
+      "kl": 0.083251953125,
+      "learning_rate": 9.972431804991293e-07,
+      "loss": 0.0033,
+      "reward": 1.890625,
+      "reward_std": 0.2414703369140625,
+      "rewards/accuracy_reward": 0.8984375,
+      "rewards/format_reward": 0.9921875,
+      "step": 57
+    },
+    {
+      "completion_length": 57.15625,
+      "epoch": 0.005610369510543625,
+      "grad_norm": 1.8965682333399105,
+      "kl": 0.064453125,
+      "learning_rate": 9.971948152447282e-07,
+      "loss": 0.0026,
+      "reward": 1.9296875,
+      "reward_std": 0.14389308914542198,
+      "rewards/accuracy_reward": 0.9375,
+      "rewards/format_reward": 0.9921875,
+      "step": 58
+    },
+    {
+      "completion_length": 57.0625,
+      "epoch": 0.005707100019346102,
+      "grad_norm": 1.6399837752342512,
+      "kl": 0.0811767578125,
+      "learning_rate": 9.97146449990327e-07,
+      "loss": 0.0032,
+      "reward": 1.890625,
+      "reward_std": 0.13781969994306564,
+      "rewards/accuracy_reward": 0.90625,
+      "rewards/format_reward": 0.984375,
+      "step": 59
+    },
+    {
+      "completion_length": 59.1953125,
+      "epoch": 0.005803830528148578,
+      "grad_norm": 2.4532760446589053,
+      "kl": 0.0611572265625,
+      "learning_rate": 9.970980847359257e-07,
+      "loss": 0.0024,
+      "reward": 1.8203125,
+      "reward_std": 0.23646268993616104,
+      "rewards/accuracy_reward": 0.8203125,
+      "rewards/format_reward": 1.0,
+      "step": 60
+    },
+    {
+      "completion_length": 56.6953125,
+      "epoch": 0.0059005610369510545,
+      "grad_norm": 1.347418830825943,
+      "kl": 0.0498046875,
+      "learning_rate": 9.970497194815245e-07,
+      "loss": 0.002,
+      "reward": 1.9375,
+      "reward_std": 0.10888782143592834,
+      "rewards/accuracy_reward": 0.9375,
+      "rewards/format_reward": 1.0,
+      "step": 61
+    },
+    {
+      "completion_length": 61.7109375,
+      "epoch": 0.005997291545753531,
+      "grad_norm": 1.7296816337075058,
+      "kl": 0.0567626953125,
+      "learning_rate": 9.970013542271232e-07,
+      "loss": 0.0023,
+      "reward": 1.8125,
+      "reward_std": 0.16675157845020294,
+      "rewards/accuracy_reward": 0.8125,
+      "rewards/format_reward": 1.0,
+      "step": 62
+    },
+    {
+      "completion_length": 60.0859375,
+      "epoch": 0.006094022054556007,
+      "grad_norm": 1.1174900550936973,
+      "kl": 0.05126953125,
+      "learning_rate": 9.96952988972722e-07,
+      "loss": 0.0021,
+      "reward": 1.9765625,
+      "reward_std": 0.06629125960171223,
+      "rewards/accuracy_reward": 0.9765625,
+      "rewards/format_reward": 1.0,
+      "step": 63
+    },
+    {
+      "completion_length": 63.2734375,
+      "epoch": 0.006190752563358483,
+      "grad_norm": 1.2212567674010755,
+      "kl": 0.0545654296875,
+      "learning_rate": 9.969046237183207e-07,
+      "loss": 0.0022,
+      "reward": 1.921875,
+      "reward_std": 0.12255740165710449,
+      "rewards/accuracy_reward": 0.921875,
+      "rewards/format_reward": 1.0,
+      "step": 64
+    },
+    {
+      "completion_length": 62.90625,
+      "epoch": 0.0062874830721609595,
+      "grad_norm": 1.0607062370398306,
+      "kl": 0.0516357421875,
+      "learning_rate": 9.968562584639196e-07,
+      "loss": 0.0021,
+      "reward": 1.8828125,
+      "reward_std": 0.07654099725186825,
+      "rewards/accuracy_reward": 0.8828125,
+      "rewards/format_reward": 1.0,
+      "step": 65
+    },
+    {
+      "completion_length": 61.9609375,
+      "epoch": 0.006384213580963436,
+      "grad_norm": 3.6380301094080325,
+      "kl": 0.079345703125,
+      "learning_rate": 9.968078932095181e-07,
+      "loss": 0.0032,
+      "reward": 1.890625,
+      "reward_std": 0.09863808006048203,
+      "rewards/accuracy_reward": 0.890625,
+      "rewards/format_reward": 1.0,
+      "step": 66
+    },
+    {
+      "completion_length": 65.6015625,
+      "epoch": 0.006480944089765912,
+      "grad_norm": 1.2101367300868426,
+      "kl": 0.0499267578125,
+      "learning_rate": 9.96759527955117e-07,
+      "loss": 0.002,
+      "reward": 1.921875,
+      "reward_std": 0.0883883461356163,
+      "rewards/accuracy_reward": 0.921875,
+      "rewards/format_reward": 1.0,
+      "step": 67
+    },
+    {
+      "completion_length": 64.9375,
+      "epoch": 0.006577674598568389,
+      "grad_norm": 1.4058299605738835,
+      "kl": 0.05517578125,
+      "learning_rate": 9.967111627007158e-07,
+      "loss": 0.0022,
+      "reward": 1.8359375,
+      "reward_std": 0.13488983362913132,
+      "rewards/accuracy_reward": 0.8515625,
+      "rewards/format_reward": 0.984375,
+      "step": 68
+    },
+    {
+      "completion_length": 67.6328125,
+      "epoch": 0.006674405107370864,
+      "grad_norm": 2.243127302505205,
+      "kl": 0.040283203125,
+      "learning_rate": 9.966627974463145e-07,
+      "loss": 0.0016,
+      "reward": 1.8984375,
+      "reward_std": 0.15467960387468338,
+      "rewards/accuracy_reward": 0.9140625,
+      "rewards/format_reward": 0.984375,
+      "step": 69
+    },
+    {
+      "completion_length": 68.9765625,
+      "epoch": 0.006771135616173341,
+      "grad_norm": 1.5075765934443708,
+      "kl": 0.041259765625,
+      "learning_rate": 9.966144321919133e-07,
+      "loss": 0.0016,
+      "reward": 1.953125,
+      "reward_std": 0.1173202246427536,
+      "rewards/accuracy_reward": 0.953125,
+      "rewards/format_reward": 1.0,
+      "step": 70
+    },
+    {
+      "completion_length": 71.6015625,
+      "epoch": 0.006867866124975817,
+      "grad_norm": 1.2737896051744175,
+      "kl": 0.0438232421875,
+      "learning_rate": 9.96566066937512e-07,
+      "loss": 0.0018,
+      "reward": 1.8359375,
+      "reward_std": 0.15490422397851944,
+      "rewards/accuracy_reward": 0.8359375,
+      "rewards/format_reward": 1.0,
+      "step": 71
+    },
+    {
+      "completion_length": 72.078125,
+      "epoch": 0.006964596633778294,
+      "grad_norm": 3.138596738453845,
+      "kl": 0.042724609375,
+      "learning_rate": 9.965177016831107e-07,
+      "loss": 0.0017,
+      "reward": 1.8984375,
+      "reward_std": 0.16834919527173042,
+      "rewards/accuracy_reward": 0.8984375,
+      "rewards/format_reward": 1.0,
+      "step": 72
+    },
+    {
+      "completion_length": 70.0078125,
+      "epoch": 0.00706132714258077,
+      "grad_norm": 1.2396648384145925,
+      "kl": 0.04046630859375,
+      "learning_rate": 9.964693364287095e-07,
+      "loss": 0.0016,
+      "reward": 1.9375,
+      "reward_std": 0.1462521031498909,
+      "rewards/accuracy_reward": 0.9453125,
+      "rewards/format_reward": 0.9921875,
+      "step": 73
+    },
+    {
+      "completion_length": 72.734375,
+      "epoch": 0.007158057651383247,
+      "grad_norm": 1.2894041867000514,
+      "kl": 0.0477294921875,
+      "learning_rate": 9.964209711743084e-07,
+      "loss": 0.0019,
+      "reward": 1.859375,
+      "reward_std": 0.12020329385995865,
+      "rewards/accuracy_reward": 0.859375,
+      "rewards/format_reward": 1.0,
+      "step": 74
+    },
+    {
+      "completion_length": 68.5,
+      "epoch": 0.007254788160185722,
+      "grad_norm": 2.6400118191598185,
+      "kl": 0.0372314453125,
+      "learning_rate": 9.963726059199072e-07,
+      "loss": 0.0015,
+      "reward": 1.8828125,
+      "reward_std": 0.1633366346359253,
+      "rewards/accuracy_reward": 0.890625,
+      "rewards/format_reward": 0.9921875,
+      "step": 75
+    },
+    {
+      "completion_length": 72.4765625,
+      "epoch": 0.007351518668988199,
+      "grad_norm": 1.6894479413134922,
+      "kl": 0.041259765625,
+      "learning_rate": 9.963242406655059e-07,
+      "loss": 0.0016,
+      "reward": 1.8671875,
+      "reward_std": 0.17282496020197868,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 1.0,
+      "step": 76
+    },
+    {
+      "completion_length": 78.59375,
+      "epoch": 0.007448249177790675,
+      "grad_norm": 2.0103213762329792,
+      "kl": 0.0479736328125,
+      "learning_rate": 9.962758754111046e-07,
+      "loss": 0.0019,
+      "reward": 1.8046875,
+      "reward_std": 0.24329256266355515,
+      "rewards/accuracy_reward": 0.8125,
+      "rewards/format_reward": 0.9921875,
+      "step": 77
+    },
+    {
+      "completion_length": 76.9375,
+      "epoch": 0.0075449796865931515,
+      "grad_norm": 2.1679810295686592,
+      "kl": 0.039306640625,
+      "learning_rate": 9.962275101567034e-07,
+      "loss": 0.0016,
+      "reward": 1.8671875,
+      "reward_std": 0.1965562254190445,
+      "rewards/accuracy_reward": 0.875,
+      "rewards/format_reward": 0.9921875,
+      "step": 78
+    },
+    {
+      "completion_length": 73.890625,
+      "epoch": 0.007641710195395628,
+      "grad_norm": 1.7310448885764356,
+      "kl": 0.0416259765625,
+      "learning_rate": 9.96179144902302e-07,
+      "loss": 0.0017,
+      "reward": 1.921875,
+      "reward_std": 0.15072787925601006,
+      "rewards/accuracy_reward": 0.921875,
+      "rewards/format_reward": 1.0,
+      "step": 79
+    },
+    {
+      "completion_length": 77.859375,
+      "epoch": 0.007738440704198104,
+      "grad_norm": 1.1571932464254209,
+      "kl": 0.03521728515625,
+      "learning_rate": 9.961307796479008e-07,
+      "loss": 0.0014,
+      "reward": 1.875,
+      "reward_std": 0.11678344011306763,
+      "rewards/accuracy_reward": 0.8828125,
+      "rewards/format_reward": 0.9921875,
+      "step": 80
+    },
+    {
+      "completion_length": 80.6640625,
+      "epoch": 0.00783517121300058,
+      "grad_norm": 1.1846650681630302,
+      "kl": 0.0355224609375,
+      "learning_rate": 9.960824143934998e-07,
+      "loss": 0.0014,
+      "reward": 1.8984375,
+      "reward_std": 0.16781240701675415,
+      "rewards/accuracy_reward": 0.90625,
+      "rewards/format_reward": 0.9921875,
+      "step": 81
+    },
+    {
+      "completion_length": 80.9453125,
+      "epoch": 0.007931901721803056,
+      "grad_norm": 1.7831378206980077,
+      "kl": 0.0323486328125,
+      "learning_rate": 9.960340491390983e-07,
+      "loss": 0.0013,
+      "reward": 1.8828125,
+      "reward_std": 0.1512519307434559,
+      "rewards/accuracy_reward": 0.8828125,
+      "rewards/format_reward": 1.0,
+      "step": 82
+    },
+    {
+      "completion_length": 74.7109375,
+      "epoch": 0.008028632230605534,
+      "grad_norm": 1.8651786426826615,
+      "kl": 0.0574951171875,
+      "learning_rate": 9.959856838846972e-07,
+      "loss": 0.0023,
+      "reward": 1.8203125,
+      "reward_std": 0.19567855447530746,
+      "rewards/accuracy_reward": 0.8203125,
+      "rewards/format_reward": 1.0,
+      "step": 83
+    },
+    {
+      "completion_length": 82.1484375,
+      "epoch": 0.00812536273940801,
+      "grad_norm": 1.2035450615079515,
+      "kl": 0.0396728515625,
+      "learning_rate": 9.95937318630296e-07,
+      "loss": 0.0016,
+      "reward": 1.8515625,
+      "reward_std": 0.13888052850961685,
+      "rewards/accuracy_reward": 0.8515625,
+      "rewards/format_reward": 1.0,
+      "step": 84
+    },
+    {
+      "completion_length": 79.6015625,
+      "epoch": 0.008222093248210485,
+      "grad_norm": 1.9528011129648917,
+      "kl": 0.0355224609375,
+      "learning_rate": 9.958889533758947e-07,
+      "loss": 0.0014,
+      "reward": 1.8828125,
+      "reward_std": 0.12073516473174095,
+      "rewards/accuracy_reward": 0.8828125,
+      "rewards/format_reward": 1.0,
+      "step": 85
+    },
+    {
+      "completion_length": 75.609375,
+      "epoch": 0.008318823757012962,
+      "grad_norm": 1.3877474003576578,
+      "kl": 0.0458984375,
+      "learning_rate": 9.958405881214934e-07,
+      "loss": 0.0018,
+      "reward": 1.8984375,
+      "reward_std": 0.10547287575900555,
+      "rewards/accuracy_reward": 0.8984375,
+      "rewards/format_reward": 1.0,
+      "step": 86
+    },
+    {
+      "completion_length": 80.34375,
+      "epoch": 0.008415554265815438,
+      "grad_norm": 2.220481843420492,
+      "kl": 0.03564453125,
+      "learning_rate": 9.957922228670922e-07,
+      "loss": 0.0014,
+      "reward": 1.8515625,
+      "reward_std": 0.11048543266952038,
+      "rewards/accuracy_reward": 0.859375,
+      "rewards/format_reward": 0.9921875,
+      "step": 87
+    },
+    {
+      "completion_length": 76.859375,
+      "epoch": 0.008512284774617915,
+      "grad_norm": 1.3296039029130402,
+      "kl": 0.0399169921875,
+      "learning_rate": 9.95743857612691e-07,
+      "loss": 0.0016,
+      "reward": 1.921875,
+      "reward_std": 0.12756996229290962,
+      "rewards/accuracy_reward": 0.921875,
+      "rewards/format_reward": 1.0,
+      "step": 88
+    },
+    {
+      "completion_length": 79.5703125,
+      "epoch": 0.00860901528342039,
+      "grad_norm": 1.5250275021762014,
+      "kl": 0.03662109375,
+      "learning_rate": 9.956954923582899e-07,
+      "loss": 0.0015,
+      "reward": 1.828125,
+      "reward_std": 0.2359209954738617,
+      "rewards/accuracy_reward": 0.828125,
+      "rewards/format_reward": 1.0,
+      "step": 89
+    },
+    {
+      "completion_length": 78.625,
+      "epoch": 0.008705745792222866,
+      "grad_norm": 2.1022892308790833,
+      "kl": 0.0694580078125,
+      "learning_rate": 9.956471271038886e-07,
+      "loss": 0.0028,
+      "reward": 1.890625,
+      "reward_std": 0.06233953312039375,
+      "rewards/accuracy_reward": 0.890625,
+      "rewards/format_reward": 1.0,
+      "step": 90
+    },
+    {
+      "completion_length": 89.296875,
+      "epoch": 0.008802476301025344,
+      "grad_norm": 2.649730494042045,
+      "kl": 0.119384765625,
+      "learning_rate": 9.955987618494873e-07,
+      "loss": 0.0048,
+      "reward": 1.90625,
+      "reward_std": 0.09863807819783688,
+      "rewards/accuracy_reward": 0.9140625,
+      "rewards/format_reward": 0.9921875,
+      "step": 91
+    },
+    {
+      "completion_length": 83.671875,
+      "epoch": 0.00889920680982782,
+      "grad_norm": 1.328799864584759,
+      "kl": 0.03448486328125,
+      "learning_rate": 9.95550396595086e-07,
+      "loss": 0.0014,
+      "reward": 1.90625,
+      "reward_std": 0.1065337061882019,
+      "rewards/accuracy_reward": 0.921875,
+      "rewards/format_reward": 0.984375,
+      "step": 92
+    },
+    {
+      "completion_length": 82.671875,
+      "epoch": 0.008995937318630296,
+      "grad_norm": 1.6487837590480994,
+      "kl": 0.0421142578125,
+      "learning_rate": 9.955020313406848e-07,
+      "loss": 0.0017,
+      "reward": 1.890625,
+      "reward_std": 0.19044627249240875,
+      "rewards/accuracy_reward": 0.8984375,
+      "rewards/format_reward": 0.9921875,
+      "step": 93
+    },
+    {
+      "completion_length": 85.546875,
+      "epoch": 0.009092667827432772,
+      "grad_norm": 0.9521030151806793,
+      "kl": 0.046142578125,
+      "learning_rate": 9.954536660862835e-07,
+      "loss": 0.0018,
+      "reward": 1.8984375,
+      "reward_std": 0.10547287575900555,
+      "rewards/accuracy_reward": 0.8984375,
+      "rewards/format_reward": 1.0,
+      "step": 94
+    },
+    {
+      "completion_length": 79.9765625,
+      "epoch": 0.00918939833623525,
+      "grad_norm": 0.7454143427025838,
+      "kl": 0.0355224609375,
+      "learning_rate": 9.954053008318823e-07,
+      "loss": 0.0014,
+      "reward": 1.984375,
+      "reward_std": 0.04419417306780815,
+      "rewards/accuracy_reward": 0.984375,
+      "rewards/format_reward": 1.0,
+      "step": 95
+    },
+    {
+      "completion_length": 87.4921875,
+      "epoch": 0.009286128845037725,
+      "grad_norm": 1.133464625493318,
+      "kl": 0.0345458984375,
+      "learning_rate": 9.953569355774812e-07,
+      "loss": 0.0014,
+      "reward": 1.859375,
+      "reward_std": 0.1530819982290268,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 0.9921875,
+      "step": 96
+    },
+    {
+      "completion_length": 80.859375,
+      "epoch": 0.0093828593538402,
+      "grad_norm": 0.7929599617421281,
+      "kl": 0.03466796875,
+      "learning_rate": 9.953085703230797e-07,
+      "loss": 0.0014,
+      "reward": 1.9765625,
+      "reward_std": 0.051028965041041374,
+      "rewards/accuracy_reward": 0.9765625,
+      "rewards/format_reward": 1.0,
+      "step": 97
+    },
+    {
+      "completion_length": 85.875,
+      "epoch": 0.009479589862642678,
+      "grad_norm": 1.1597056531543017,
+      "kl": 0.0352783203125,
+      "learning_rate": 9.952602050686787e-07,
+      "loss": 0.0014,
+      "reward": 1.8671875,
+      "reward_std": 0.1054728701710701,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 1.0,
+      "step": 98
+    },
+    {
+      "completion_length": 83.0390625,
+      "epoch": 0.009576320371445153,
+      "grad_norm": 1.07555295208371,
+      "kl": 0.03387451171875,
+      "learning_rate": 9.952118398142774e-07,
+      "loss": 0.0014,
+      "reward": 1.9140625,
+      "reward_std": 0.08443661965429783,
+      "rewards/accuracy_reward": 0.9140625,
+      "rewards/format_reward": 1.0,
+      "step": 99
+    },
+    {
+      "completion_length": 80.453125,
+      "epoch": 0.00967305088024763,
+      "grad_norm": 4.643230012328778,
+      "kl": 0.0306396484375,
+      "learning_rate": 9.951634745598762e-07,
+      "loss": 0.0012,
+      "reward": 1.859375,
+      "reward_std": 0.16675157845020294,
+      "rewards/accuracy_reward": 0.8671875,
+      "rewards/format_reward": 0.9921875,
+      "step": 100
+    }
+  ],
+  "logging_steps": 1.0,
+  "max_steps": 20676,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-100/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3de251277162bc3988b0e191e38c5f1ff4d91b549a5d7eff2ada2aa295cc205
+size 7672