3g1l-vaktros commited on
Commit
cd4e6d3
·
verified ·
1 Parent(s): b3fcefe

Initial SynthForm-8B upload

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
chat_template.jinja ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {%- if messages[0].content is string %}
5
+ {{- messages[0].content }}
6
+ {%- else %}
7
+ {%- for content in messages[0].content %}
8
+ {%- if 'text' in content %}
9
+ {{- content.text }}
10
+ {%- endif %}
11
+ {%- endfor %}
12
+ {%- endif %}
13
+ {{- '\n\n' }}
14
+ {%- endif %}
15
+ {{- "# 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>" }}
16
+ {%- for tool in tools %}
17
+ {{- "\n" }}
18
+ {{- tool | tojson }}
19
+ {%- endfor %}
20
+ {{- "\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" }}
21
+ {%- else %}
22
+ {%- if messages[0].role == 'system' %}
23
+ {{- '<|im_start|>system\n' }}
24
+ {%- if messages[0].content is string %}
25
+ {{- messages[0].content }}
26
+ {%- else %}
27
+ {%- for content in messages[0].content %}
28
+ {%- if 'text' in content %}
29
+ {{- content.text }}
30
+ {%- endif %}
31
+ {%- endfor %}
32
+ {%- endif %}
33
+ {{- '<|im_end|>\n' }}
34
+ {%- endif %}
35
+ {%- endif %}
36
+ {%- set image_count = namespace(value=0) %}
37
+ {%- set video_count = namespace(value=0) %}
38
+ {%- for message in messages %}
39
+ {%- if message.role == "user" %}
40
+ {{- '<|im_start|>' + message.role + '\n' }}
41
+ {%- if message.content is string %}
42
+ {{- message.content }}
43
+ {%- else %}
44
+ {%- for content in message.content %}
45
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
46
+ {%- set image_count.value = image_count.value + 1 %}
47
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
48
+ <|vision_start|><|image_pad|><|vision_end|>
49
+ {%- elif content.type == 'video' or 'video' in content %}
50
+ {%- set video_count.value = video_count.value + 1 %}
51
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
52
+ <|vision_start|><|video_pad|><|vision_end|>
53
+ {%- elif 'text' in content %}
54
+ {{- content.text }}
55
+ {%- endif %}
56
+ {%- endfor %}
57
+ {%- endif %}
58
+ {{- '<|im_end|>\n' }}
59
+ {%- elif message.role == "assistant" %}
60
+ {{- '<|im_start|>' + message.role + '\n' }}
61
+ {%- if message.content is string %}
62
+ {{- message.content }}
63
+ {%- else %}
64
+ {%- for content_item in message.content %}
65
+ {%- if 'text' in content_item %}
66
+ {{- content_item.text }}
67
+ {%- endif %}
68
+ {%- endfor %}
69
+ {%- endif %}
70
+ {%- if message.tool_calls %}
71
+ {%- for tool_call in message.tool_calls %}
72
+ {%- if (loop.first and message.content) or (not loop.first) %}
73
+ {{- '\n' }}
74
+ {%- endif %}
75
+ {%- if tool_call.function %}
76
+ {%- set tool_call = tool_call.function %}
77
+ {%- endif %}
78
+ {{- '<tool_call>\n{"name": "' }}
79
+ {{- tool_call.name }}
80
+ {{- '", "arguments": ' }}
81
+ {%- if tool_call.arguments is string %}
82
+ {{- tool_call.arguments }}
83
+ {%- else %}
84
+ {{- tool_call.arguments | tojson }}
85
+ {%- endif %}
86
+ {{- '}\n</tool_call>' }}
87
+ {%- endfor %}
88
+ {%- endif %}
89
+ {{- '<|im_end|>\n' }}
90
+ {%- elif message.role == "tool" %}
91
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
92
+ {{- '<|im_start|>user' }}
93
+ {%- endif %}
94
+ {{- '\n<tool_response>\n' }}
95
+ {%- if message.content is string %}
96
+ {{- message.content }}
97
+ {%- else %}
98
+ {%- for content in message.content %}
99
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
100
+ {%- set image_count.value = image_count.value + 1 %}
101
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
102
+ <|vision_start|><|image_pad|><|vision_end|>
103
+ {%- elif content.type == 'video' or 'video' in content %}
104
+ {%- set video_count.value = video_count.value + 1 %}
105
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
106
+ <|vision_start|><|video_pad|><|vision_end|>
107
+ {%- elif 'text' in content %}
108
+ {{- content.text }}
109
+ {%- endif %}
110
+ {%- endfor %}
111
+ {%- endif %}
112
+ {{- '\n</tool_response>' }}
113
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
114
+ {{- '<|im_end|>\n' }}
115
+ {%- endif %}
116
+ {%- endif %}
117
+ {%- endfor %}
118
+ {%- if add_generation_prompt %}
119
+ {{- '<|im_start|>assistant\n' }}
120
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3VLForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "eos_token_id": 151645,
7
+ "image_token_id": 151655,
8
+ "max_length": null,
9
+ "model_type": "qwen3_vl",
10
+ "pad_token_id": 151643,
11
+ "text_config": {
12
+ "attention_bias": false,
13
+ "attention_dropout": 0.0,
14
+ "bos_token_id": 151643,
15
+ "dtype": "bfloat16",
16
+ "eos_token_id": 151645,
17
+ "head_dim": 128,
18
+ "hidden_act": "silu",
19
+ "hidden_size": 4096,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 12288,
22
+ "max_position_embeddings": 8192,
23
+ "model_type": "qwen3_vl_text",
24
+ "num_attention_heads": 32,
25
+ "num_hidden_layers": 36,
26
+ "num_key_value_heads": 8,
27
+ "rms_norm_eps": 1e-06,
28
+ "rope_scaling": {
29
+ "mrope_interleaved": true,
30
+ "mrope_section": [
31
+ 24,
32
+ 20,
33
+ 20
34
+ ],
35
+ "rope_type": "default"
36
+ },
37
+ "rope_theta": 5000000,
38
+ "use_cache": true,
39
+ "vocab_size": 151936
40
+ },
41
+ "tie_word_embeddings": false,
42
+ "transformers_version": "4.57.1",
43
+ "video_token_id": 151656,
44
+ "vision_config": {
45
+ "deepstack_visual_indexes": [
46
+ 8,
47
+ 16,
48
+ 24
49
+ ],
50
+ "depth": 27,
51
+ "dtype": "bfloat16",
52
+ "hidden_act": "gelu_pytorch_tanh",
53
+ "hidden_size": 1152,
54
+ "in_channels": 3,
55
+ "initializer_range": 0.02,
56
+ "intermediate_size": 4304,
57
+ "model_type": "qwen3_vl",
58
+ "num_heads": 16,
59
+ "num_position_embeddings": 2304,
60
+ "out_hidden_size": 4096,
61
+ "patch_size": 16,
62
+ "spatial_merge_size": 2,
63
+ "temporal_patch_size": 2
64
+ },
65
+ "vision_end_token_id": 151653,
66
+ "vision_start_token_id": 151652
67
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "max_length": 8192,
9
+ "pad_token_id": 151643,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.57.1"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20a60c9afd3b0b64f7901b53d03b0de4af89f2ec8893766592fe85c3ac6d05dd
3
+ size 4998056552
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbd60b12941af75e905dcab6c74c0152b9593d868273bd524e3540af1e529f1c
3
+ size 4915962464
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:911e426bd2bac3f24697dfe4b74fe5f185faf1262e1378f2e6cec59167538f1f
3
+ size 4915962496
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1dcc860577e794b392a586cec30df0e8d2fd0604a6b4658be24125298f6e1740
3
+ size 2704357976
model.safetensors.index.json ADDED
@@ -0,0 +1,758 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 8767123696,
4
+ "total_size": 17534247392
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.language_model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.language_model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.language_model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.language_model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.language_model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.language_model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.language_model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
15
+ "model.language_model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.language_model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.language_model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
18
+ "model.language_model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.language_model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.language_model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.language_model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.language_model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.language_model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.language_model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.language_model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
26
+ "model.language_model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.language_model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.language_model.layers.1.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
29
+ "model.language_model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.language_model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.language_model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "model.language_model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.language_model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.language_model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.language_model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.language_model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
37
+ "model.language_model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.language_model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.language_model.layers.10.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
40
+ "model.language_model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.language_model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.language_model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
43
+ "model.language_model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.language_model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.language_model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.language_model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.language_model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
48
+ "model.language_model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.language_model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.language_model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
51
+ "model.language_model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.language_model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.language_model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
54
+ "model.language_model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.language_model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.language_model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.language_model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.language_model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
59
+ "model.language_model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.language_model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.language_model.layers.12.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
62
+ "model.language_model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.language_model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.language_model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
65
+ "model.language_model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.language_model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.language_model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.language_model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.language_model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
70
+ "model.language_model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.language_model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.language_model.layers.13.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
73
+ "model.language_model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.language_model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.language_model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "model.language_model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.language_model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.language_model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.language_model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.language_model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
81
+ "model.language_model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.language_model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.language_model.layers.14.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
84
+ "model.language_model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.language_model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.language_model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
87
+ "model.language_model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.language_model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.language_model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.language_model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.language_model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
92
+ "model.language_model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.language_model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.language_model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
95
+ "model.language_model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.language_model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.language_model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.language_model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.language_model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.language_model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.language_model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.language_model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
103
+ "model.language_model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.language_model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.language_model.layers.16.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
106
+ "model.language_model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.language_model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.language_model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.language_model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.language_model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.language_model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.language_model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.language_model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
114
+ "model.language_model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.language_model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.language_model.layers.17.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
117
+ "model.language_model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.language_model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.language_model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
120
+ "model.language_model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.language_model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.language_model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.language_model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.language_model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
125
+ "model.language_model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.language_model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.language_model.layers.18.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
128
+ "model.language_model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.language_model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
130
+ "model.language_model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
131
+ "model.language_model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
132
+ "model.language_model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.language_model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
134
+ "model.language_model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
135
+ "model.language_model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
136
+ "model.language_model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.language_model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.language_model.layers.19.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
139
+ "model.language_model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.language_model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.language_model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
142
+ "model.language_model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.language_model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.language_model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
145
+ "model.language_model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.language_model.layers.2.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
147
+ "model.language_model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.language_model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.language_model.layers.2.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
150
+ "model.language_model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.language_model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
152
+ "model.language_model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
153
+ "model.language_model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.language_model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.language_model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
156
+ "model.language_model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.language_model.layers.20.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
158
+ "model.language_model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
159
+ "model.language_model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
160
+ "model.language_model.layers.20.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
161
+ "model.language_model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
162
+ "model.language_model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
163
+ "model.language_model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
164
+ "model.language_model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.language_model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.language_model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.language_model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
168
+ "model.language_model.layers.21.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
169
+ "model.language_model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.language_model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.language_model.layers.21.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
172
+ "model.language_model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.language_model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.language_model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
175
+ "model.language_model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.language_model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.language_model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.language_model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.language_model.layers.22.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
180
+ "model.language_model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.language_model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.language_model.layers.22.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
183
+ "model.language_model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.language_model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.language_model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
186
+ "model.language_model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.language_model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.language_model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.language_model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.language_model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
191
+ "model.language_model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.language_model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.language_model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
194
+ "model.language_model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.language_model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.language_model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
197
+ "model.language_model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.language_model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.language_model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.language_model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.language_model.layers.24.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
202
+ "model.language_model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.language_model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.language_model.layers.24.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
205
+ "model.language_model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.language_model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.language_model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "model.language_model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.language_model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.language_model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.language_model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.language_model.layers.25.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
213
+ "model.language_model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.language_model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.language_model.layers.25.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
216
+ "model.language_model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.language_model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
218
+ "model.language_model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
219
+ "model.language_model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.language_model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.language_model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.language_model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.language_model.layers.26.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
224
+ "model.language_model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.language_model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.language_model.layers.26.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
227
+ "model.language_model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.language_model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.language_model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.language_model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.language_model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.language_model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.language_model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.language_model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
235
+ "model.language_model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.language_model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.language_model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
238
+ "model.language_model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.language_model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.language_model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.language_model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.language_model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.language_model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.language_model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.language_model.layers.28.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
246
+ "model.language_model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.language_model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.language_model.layers.28.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
249
+ "model.language_model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.language_model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.language_model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
252
+ "model.language_model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.language_model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.language_model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.language_model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.language_model.layers.29.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
257
+ "model.language_model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.language_model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.language_model.layers.29.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
260
+ "model.language_model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.language_model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
262
+ "model.language_model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
263
+ "model.language_model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.language_model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.language_model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
266
+ "model.language_model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.language_model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
268
+ "model.language_model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.language_model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.language_model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
271
+ "model.language_model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.language_model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.language_model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
274
+ "model.language_model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.language_model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.language_model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
277
+ "model.language_model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.language_model.layers.30.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
279
+ "model.language_model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.language_model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.language_model.layers.30.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
282
+ "model.language_model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.language_model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
284
+ "model.language_model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
285
+ "model.language_model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.language_model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.language_model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
288
+ "model.language_model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.language_model.layers.31.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
290
+ "model.language_model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.language_model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.language_model.layers.31.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
293
+ "model.language_model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.language_model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
295
+ "model.language_model.layers.32.input_layernorm.weight": "model-00004-of-00004.safetensors",
296
+ "model.language_model.layers.32.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
297
+ "model.language_model.layers.32.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
298
+ "model.language_model.layers.32.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
299
+ "model.language_model.layers.32.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
300
+ "model.language_model.layers.32.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
301
+ "model.language_model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.language_model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.language_model.layers.32.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
304
+ "model.language_model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.language_model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
306
+ "model.language_model.layers.33.input_layernorm.weight": "model-00004-of-00004.safetensors",
307
+ "model.language_model.layers.33.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
308
+ "model.language_model.layers.33.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
309
+ "model.language_model.layers.33.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
310
+ "model.language_model.layers.33.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
311
+ "model.language_model.layers.33.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
312
+ "model.language_model.layers.33.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
313
+ "model.language_model.layers.33.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
314
+ "model.language_model.layers.33.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
315
+ "model.language_model.layers.33.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
316
+ "model.language_model.layers.33.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
317
+ "model.language_model.layers.34.input_layernorm.weight": "model-00004-of-00004.safetensors",
318
+ "model.language_model.layers.34.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
319
+ "model.language_model.layers.34.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
320
+ "model.language_model.layers.34.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
321
+ "model.language_model.layers.34.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
322
+ "model.language_model.layers.34.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
323
+ "model.language_model.layers.34.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
324
+ "model.language_model.layers.34.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
325
+ "model.language_model.layers.34.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
326
+ "model.language_model.layers.34.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
327
+ "model.language_model.layers.34.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
328
+ "model.language_model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
329
+ "model.language_model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.language_model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.language_model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
332
+ "model.language_model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.language_model.layers.35.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
334
+ "model.language_model.layers.35.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
335
+ "model.language_model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.language_model.layers.35.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
337
+ "model.language_model.layers.35.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
338
+ "model.language_model.layers.35.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
339
+ "model.language_model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
340
+ "model.language_model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
341
+ "model.language_model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
342
+ "model.language_model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
343
+ "model.language_model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
344
+ "model.language_model.layers.4.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
345
+ "model.language_model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
346
+ "model.language_model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
347
+ "model.language_model.layers.4.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
348
+ "model.language_model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
349
+ "model.language_model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
350
+ "model.language_model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
351
+ "model.language_model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
352
+ "model.language_model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "model.language_model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
354
+ "model.language_model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
355
+ "model.language_model.layers.5.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
356
+ "model.language_model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
357
+ "model.language_model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
358
+ "model.language_model.layers.5.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
359
+ "model.language_model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
360
+ "model.language_model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
361
+ "model.language_model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
362
+ "model.language_model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
363
+ "model.language_model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
364
+ "model.language_model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
365
+ "model.language_model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
366
+ "model.language_model.layers.6.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
367
+ "model.language_model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
368
+ "model.language_model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
369
+ "model.language_model.layers.6.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
370
+ "model.language_model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
371
+ "model.language_model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
372
+ "model.language_model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
373
+ "model.language_model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
374
+ "model.language_model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
375
+ "model.language_model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
376
+ "model.language_model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
377
+ "model.language_model.layers.7.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
378
+ "model.language_model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
379
+ "model.language_model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
380
+ "model.language_model.layers.7.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
381
+ "model.language_model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
382
+ "model.language_model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
383
+ "model.language_model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
384
+ "model.language_model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
385
+ "model.language_model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
386
+ "model.language_model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
387
+ "model.language_model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
388
+ "model.language_model.layers.8.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
389
+ "model.language_model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
390
+ "model.language_model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
391
+ "model.language_model.layers.8.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
392
+ "model.language_model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
393
+ "model.language_model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
394
+ "model.language_model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
395
+ "model.language_model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
396
+ "model.language_model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
397
+ "model.language_model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
398
+ "model.language_model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
399
+ "model.language_model.layers.9.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
400
+ "model.language_model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
401
+ "model.language_model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
402
+ "model.language_model.layers.9.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
403
+ "model.language_model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
404
+ "model.language_model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
405
+ "model.language_model.norm.weight": "model-00004-of-00004.safetensors",
406
+ "model.visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
407
+ "model.visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
408
+ "model.visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
409
+ "model.visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
410
+ "model.visual.blocks.0.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
411
+ "model.visual.blocks.0.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
412
+ "model.visual.blocks.0.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
413
+ "model.visual.blocks.0.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
414
+ "model.visual.blocks.0.norm1.bias": "model-00001-of-00004.safetensors",
415
+ "model.visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
416
+ "model.visual.blocks.0.norm2.bias": "model-00001-of-00004.safetensors",
417
+ "model.visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
418
+ "model.visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
419
+ "model.visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
420
+ "model.visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
421
+ "model.visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
422
+ "model.visual.blocks.1.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
423
+ "model.visual.blocks.1.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
424
+ "model.visual.blocks.1.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
425
+ "model.visual.blocks.1.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
426
+ "model.visual.blocks.1.norm1.bias": "model-00001-of-00004.safetensors",
427
+ "model.visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
428
+ "model.visual.blocks.1.norm2.bias": "model-00001-of-00004.safetensors",
429
+ "model.visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
430
+ "model.visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
431
+ "model.visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
432
+ "model.visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
433
+ "model.visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
434
+ "model.visual.blocks.10.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
435
+ "model.visual.blocks.10.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
436
+ "model.visual.blocks.10.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
437
+ "model.visual.blocks.10.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
438
+ "model.visual.blocks.10.norm1.bias": "model-00001-of-00004.safetensors",
439
+ "model.visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
440
+ "model.visual.blocks.10.norm2.bias": "model-00001-of-00004.safetensors",
441
+ "model.visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
442
+ "model.visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
443
+ "model.visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
444
+ "model.visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
445
+ "model.visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
446
+ "model.visual.blocks.11.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
447
+ "model.visual.blocks.11.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
448
+ "model.visual.blocks.11.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
449
+ "model.visual.blocks.11.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
450
+ "model.visual.blocks.11.norm1.bias": "model-00001-of-00004.safetensors",
451
+ "model.visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
452
+ "model.visual.blocks.11.norm2.bias": "model-00001-of-00004.safetensors",
453
+ "model.visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
454
+ "model.visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
455
+ "model.visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
456
+ "model.visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
457
+ "model.visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
458
+ "model.visual.blocks.12.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
459
+ "model.visual.blocks.12.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
460
+ "model.visual.blocks.12.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
461
+ "model.visual.blocks.12.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
462
+ "model.visual.blocks.12.norm1.bias": "model-00001-of-00004.safetensors",
463
+ "model.visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
464
+ "model.visual.blocks.12.norm2.bias": "model-00001-of-00004.safetensors",
465
+ "model.visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
466
+ "model.visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
467
+ "model.visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
468
+ "model.visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
469
+ "model.visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
470
+ "model.visual.blocks.13.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
471
+ "model.visual.blocks.13.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
472
+ "model.visual.blocks.13.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
473
+ "model.visual.blocks.13.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
474
+ "model.visual.blocks.13.norm1.bias": "model-00001-of-00004.safetensors",
475
+ "model.visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
476
+ "model.visual.blocks.13.norm2.bias": "model-00001-of-00004.safetensors",
477
+ "model.visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
478
+ "model.visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
479
+ "model.visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
480
+ "model.visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
481
+ "model.visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
482
+ "model.visual.blocks.14.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
483
+ "model.visual.blocks.14.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
484
+ "model.visual.blocks.14.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
485
+ "model.visual.blocks.14.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
486
+ "model.visual.blocks.14.norm1.bias": "model-00001-of-00004.safetensors",
487
+ "model.visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
488
+ "model.visual.blocks.14.norm2.bias": "model-00001-of-00004.safetensors",
489
+ "model.visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
490
+ "model.visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
491
+ "model.visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
492
+ "model.visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
493
+ "model.visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
494
+ "model.visual.blocks.15.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
495
+ "model.visual.blocks.15.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
496
+ "model.visual.blocks.15.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
497
+ "model.visual.blocks.15.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
498
+ "model.visual.blocks.15.norm1.bias": "model-00001-of-00004.safetensors",
499
+ "model.visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
500
+ "model.visual.blocks.15.norm2.bias": "model-00001-of-00004.safetensors",
501
+ "model.visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
502
+ "model.visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
503
+ "model.visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
504
+ "model.visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
505
+ "model.visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
506
+ "model.visual.blocks.16.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
507
+ "model.visual.blocks.16.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
508
+ "model.visual.blocks.16.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
509
+ "model.visual.blocks.16.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
510
+ "model.visual.blocks.16.norm1.bias": "model-00001-of-00004.safetensors",
511
+ "model.visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
512
+ "model.visual.blocks.16.norm2.bias": "model-00001-of-00004.safetensors",
513
+ "model.visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
514
+ "model.visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
515
+ "model.visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
516
+ "model.visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
517
+ "model.visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
518
+ "model.visual.blocks.17.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
519
+ "model.visual.blocks.17.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
520
+ "model.visual.blocks.17.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
521
+ "model.visual.blocks.17.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
522
+ "model.visual.blocks.17.norm1.bias": "model-00001-of-00004.safetensors",
523
+ "model.visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
524
+ "model.visual.blocks.17.norm2.bias": "model-00001-of-00004.safetensors",
525
+ "model.visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
526
+ "model.visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
527
+ "model.visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
528
+ "model.visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
529
+ "model.visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
530
+ "model.visual.blocks.18.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
531
+ "model.visual.blocks.18.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
532
+ "model.visual.blocks.18.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
533
+ "model.visual.blocks.18.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
534
+ "model.visual.blocks.18.norm1.bias": "model-00001-of-00004.safetensors",
535
+ "model.visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
536
+ "model.visual.blocks.18.norm2.bias": "model-00001-of-00004.safetensors",
537
+ "model.visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
538
+ "model.visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
539
+ "model.visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
540
+ "model.visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
541
+ "model.visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
542
+ "model.visual.blocks.19.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
543
+ "model.visual.blocks.19.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
544
+ "model.visual.blocks.19.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
545
+ "model.visual.blocks.19.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
546
+ "model.visual.blocks.19.norm1.bias": "model-00001-of-00004.safetensors",
547
+ "model.visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
548
+ "model.visual.blocks.19.norm2.bias": "model-00001-of-00004.safetensors",
549
+ "model.visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
550
+ "model.visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
551
+ "model.visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
552
+ "model.visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
553
+ "model.visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
554
+ "model.visual.blocks.2.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
555
+ "model.visual.blocks.2.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
556
+ "model.visual.blocks.2.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
557
+ "model.visual.blocks.2.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
558
+ "model.visual.blocks.2.norm1.bias": "model-00001-of-00004.safetensors",
559
+ "model.visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
560
+ "model.visual.blocks.2.norm2.bias": "model-00001-of-00004.safetensors",
561
+ "model.visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
562
+ "model.visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
563
+ "model.visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
564
+ "model.visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
565
+ "model.visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
566
+ "model.visual.blocks.20.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
567
+ "model.visual.blocks.20.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
568
+ "model.visual.blocks.20.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
569
+ "model.visual.blocks.20.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
570
+ "model.visual.blocks.20.norm1.bias": "model-00001-of-00004.safetensors",
571
+ "model.visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
572
+ "model.visual.blocks.20.norm2.bias": "model-00001-of-00004.safetensors",
573
+ "model.visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
574
+ "model.visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
575
+ "model.visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
576
+ "model.visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
577
+ "model.visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
578
+ "model.visual.blocks.21.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
579
+ "model.visual.blocks.21.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
580
+ "model.visual.blocks.21.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
581
+ "model.visual.blocks.21.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
582
+ "model.visual.blocks.21.norm1.bias": "model-00001-of-00004.safetensors",
583
+ "model.visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
584
+ "model.visual.blocks.21.norm2.bias": "model-00001-of-00004.safetensors",
585
+ "model.visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
586
+ "model.visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
587
+ "model.visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
588
+ "model.visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
589
+ "model.visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
590
+ "model.visual.blocks.22.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
591
+ "model.visual.blocks.22.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
592
+ "model.visual.blocks.22.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
593
+ "model.visual.blocks.22.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
594
+ "model.visual.blocks.22.norm1.bias": "model-00001-of-00004.safetensors",
595
+ "model.visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
596
+ "model.visual.blocks.22.norm2.bias": "model-00001-of-00004.safetensors",
597
+ "model.visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
598
+ "model.visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
599
+ "model.visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
600
+ "model.visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
601
+ "model.visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
602
+ "model.visual.blocks.23.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
603
+ "model.visual.blocks.23.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
604
+ "model.visual.blocks.23.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
605
+ "model.visual.blocks.23.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
606
+ "model.visual.blocks.23.norm1.bias": "model-00001-of-00004.safetensors",
607
+ "model.visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
608
+ "model.visual.blocks.23.norm2.bias": "model-00001-of-00004.safetensors",
609
+ "model.visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
610
+ "model.visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
611
+ "model.visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
612
+ "model.visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
613
+ "model.visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
614
+ "model.visual.blocks.24.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
615
+ "model.visual.blocks.24.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
616
+ "model.visual.blocks.24.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
617
+ "model.visual.blocks.24.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
618
+ "model.visual.blocks.24.norm1.bias": "model-00001-of-00004.safetensors",
619
+ "model.visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
620
+ "model.visual.blocks.24.norm2.bias": "model-00001-of-00004.safetensors",
621
+ "model.visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
622
+ "model.visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
623
+ "model.visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
624
+ "model.visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
625
+ "model.visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
626
+ "model.visual.blocks.25.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
627
+ "model.visual.blocks.25.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
628
+ "model.visual.blocks.25.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
629
+ "model.visual.blocks.25.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
630
+ "model.visual.blocks.25.norm1.bias": "model-00001-of-00004.safetensors",
631
+ "model.visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
632
+ "model.visual.blocks.25.norm2.bias": "model-00001-of-00004.safetensors",
633
+ "model.visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
634
+ "model.visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
635
+ "model.visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
636
+ "model.visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
637
+ "model.visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
638
+ "model.visual.blocks.26.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
639
+ "model.visual.blocks.26.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
640
+ "model.visual.blocks.26.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
641
+ "model.visual.blocks.26.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
642
+ "model.visual.blocks.26.norm1.bias": "model-00001-of-00004.safetensors",
643
+ "model.visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
644
+ "model.visual.blocks.26.norm2.bias": "model-00001-of-00004.safetensors",
645
+ "model.visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
646
+ "model.visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
647
+ "model.visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
648
+ "model.visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
649
+ "model.visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
650
+ "model.visual.blocks.3.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
651
+ "model.visual.blocks.3.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
652
+ "model.visual.blocks.3.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
653
+ "model.visual.blocks.3.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
654
+ "model.visual.blocks.3.norm1.bias": "model-00001-of-00004.safetensors",
655
+ "model.visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
656
+ "model.visual.blocks.3.norm2.bias": "model-00001-of-00004.safetensors",
657
+ "model.visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
658
+ "model.visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
659
+ "model.visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
660
+ "model.visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
661
+ "model.visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
662
+ "model.visual.blocks.4.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
663
+ "model.visual.blocks.4.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
664
+ "model.visual.blocks.4.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
665
+ "model.visual.blocks.4.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
666
+ "model.visual.blocks.4.norm1.bias": "model-00001-of-00004.safetensors",
667
+ "model.visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
668
+ "model.visual.blocks.4.norm2.bias": "model-00001-of-00004.safetensors",
669
+ "model.visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
670
+ "model.visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
671
+ "model.visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
672
+ "model.visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
673
+ "model.visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
674
+ "model.visual.blocks.5.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
675
+ "model.visual.blocks.5.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
676
+ "model.visual.blocks.5.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
677
+ "model.visual.blocks.5.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
678
+ "model.visual.blocks.5.norm1.bias": "model-00001-of-00004.safetensors",
679
+ "model.visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
680
+ "model.visual.blocks.5.norm2.bias": "model-00001-of-00004.safetensors",
681
+ "model.visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
682
+ "model.visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
683
+ "model.visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
684
+ "model.visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
685
+ "model.visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
686
+ "model.visual.blocks.6.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
687
+ "model.visual.blocks.6.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
688
+ "model.visual.blocks.6.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
689
+ "model.visual.blocks.6.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
690
+ "model.visual.blocks.6.norm1.bias": "model-00001-of-00004.safetensors",
691
+ "model.visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
692
+ "model.visual.blocks.6.norm2.bias": "model-00001-of-00004.safetensors",
693
+ "model.visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
694
+ "model.visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
695
+ "model.visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
696
+ "model.visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
697
+ "model.visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
698
+ "model.visual.blocks.7.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
699
+ "model.visual.blocks.7.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
700
+ "model.visual.blocks.7.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
701
+ "model.visual.blocks.7.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
702
+ "model.visual.blocks.7.norm1.bias": "model-00001-of-00004.safetensors",
703
+ "model.visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
704
+ "model.visual.blocks.7.norm2.bias": "model-00001-of-00004.safetensors",
705
+ "model.visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
706
+ "model.visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
707
+ "model.visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
708
+ "model.visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
709
+ "model.visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
710
+ "model.visual.blocks.8.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
711
+ "model.visual.blocks.8.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
712
+ "model.visual.blocks.8.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
713
+ "model.visual.blocks.8.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
714
+ "model.visual.blocks.8.norm1.bias": "model-00001-of-00004.safetensors",
715
+ "model.visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
716
+ "model.visual.blocks.8.norm2.bias": "model-00001-of-00004.safetensors",
717
+ "model.visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
718
+ "model.visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
719
+ "model.visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
720
+ "model.visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
721
+ "model.visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
722
+ "model.visual.blocks.9.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
723
+ "model.visual.blocks.9.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
724
+ "model.visual.blocks.9.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
725
+ "model.visual.blocks.9.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
726
+ "model.visual.blocks.9.norm1.bias": "model-00001-of-00004.safetensors",
727
+ "model.visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
728
+ "model.visual.blocks.9.norm2.bias": "model-00001-of-00004.safetensors",
729
+ "model.visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
730
+ "model.visual.deepstack_merger_list.0.linear_fc1.bias": "model-00001-of-00004.safetensors",
731
+ "model.visual.deepstack_merger_list.0.linear_fc1.weight": "model-00001-of-00004.safetensors",
732
+ "model.visual.deepstack_merger_list.0.linear_fc2.bias": "model-00001-of-00004.safetensors",
733
+ "model.visual.deepstack_merger_list.0.linear_fc2.weight": "model-00001-of-00004.safetensors",
734
+ "model.visual.deepstack_merger_list.0.norm.bias": "model-00001-of-00004.safetensors",
735
+ "model.visual.deepstack_merger_list.0.norm.weight": "model-00001-of-00004.safetensors",
736
+ "model.visual.deepstack_merger_list.1.linear_fc1.bias": "model-00001-of-00004.safetensors",
737
+ "model.visual.deepstack_merger_list.1.linear_fc1.weight": "model-00001-of-00004.safetensors",
738
+ "model.visual.deepstack_merger_list.1.linear_fc2.bias": "model-00001-of-00004.safetensors",
739
+ "model.visual.deepstack_merger_list.1.linear_fc2.weight": "model-00001-of-00004.safetensors",
740
+ "model.visual.deepstack_merger_list.1.norm.bias": "model-00001-of-00004.safetensors",
741
+ "model.visual.deepstack_merger_list.1.norm.weight": "model-00001-of-00004.safetensors",
742
+ "model.visual.deepstack_merger_list.2.linear_fc1.bias": "model-00001-of-00004.safetensors",
743
+ "model.visual.deepstack_merger_list.2.linear_fc1.weight": "model-00001-of-00004.safetensors",
744
+ "model.visual.deepstack_merger_list.2.linear_fc2.bias": "model-00001-of-00004.safetensors",
745
+ "model.visual.deepstack_merger_list.2.linear_fc2.weight": "model-00001-of-00004.safetensors",
746
+ "model.visual.deepstack_merger_list.2.norm.bias": "model-00001-of-00004.safetensors",
747
+ "model.visual.deepstack_merger_list.2.norm.weight": "model-00001-of-00004.safetensors",
748
+ "model.visual.merger.linear_fc1.bias": "model-00001-of-00004.safetensors",
749
+ "model.visual.merger.linear_fc1.weight": "model-00001-of-00004.safetensors",
750
+ "model.visual.merger.linear_fc2.bias": "model-00001-of-00004.safetensors",
751
+ "model.visual.merger.linear_fc2.weight": "model-00001-of-00004.safetensors",
752
+ "model.visual.merger.norm.bias": "model-00001-of-00004.safetensors",
753
+ "model.visual.merger.norm.weight": "model-00001-of-00004.safetensors",
754
+ "model.visual.patch_embed.proj.bias": "model-00001-of-00004.safetensors",
755
+ "model.visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors",
756
+ "model.visual.pos_embed.weight": "model-00001-of-00004.safetensors"
757
+ }
758
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ddeff108118da3c15d392cf5d7d4f70c38e72e884d6dec93026f463d6eac43c2
3
+ size 21541096448
preprocessor_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": null,
3
+ "data_format": "channels_first",
4
+ "default_to_square": true,
5
+ "device": null,
6
+ "disable_grouping": null,
7
+ "do_center_crop": null,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": null,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_mean": [
14
+ 0.5,
15
+ 0.5,
16
+ 0.5
17
+ ],
18
+ "image_processor_type": "Qwen2VLImageProcessorFast",
19
+ "image_std": [
20
+ 0.5,
21
+ 0.5,
22
+ 0.5
23
+ ],
24
+ "input_data_format": null,
25
+ "max_pixels": null,
26
+ "merge_size": 2,
27
+ "min_pixels": null,
28
+ "pad_size": null,
29
+ "patch_size": 16,
30
+ "processor_class": "Qwen3VLProcessor",
31
+ "resample": 3,
32
+ "rescale_factor": 0.00392156862745098,
33
+ "return_tensors": null,
34
+ "size": {
35
+ "longest_edge": 16777216,
36
+ "shortest_edge": 65536
37
+ },
38
+ "temporal_patch_size": 2
39
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b66e3cc7c452b707ddac5caf0aa17618afb9bc1a0333600a22c4afb353f3165
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:695abc6d3c1337f2f896bea27a403c0a68c07b5184742eb2c7b5c5a70c412dea
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
tokenizer_config.json ADDED
@@ -0,0 +1,241 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\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' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\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",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 262144,
236
+ "pad_token": "<|endoftext|>",
237
+ "processor_class": "Qwen3VLProcessor",
238
+ "split_special_tokens": false,
239
+ "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }
trainer_state.json ADDED
@@ -0,0 +1,534 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.4624954262714964,
6
+ "eval_steps": 500,
7
+ "global_step": 500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "entropy": 0.5018481526523828,
14
+ "epoch": 0.029271862422246615,
15
+ "grad_norm": 53.5,
16
+ "learning_rate": 1.8000000000000001e-06,
17
+ "loss": 0.9524,
18
+ "mean_token_accuracy": 0.8672725282609463,
19
+ "num_tokens": 178219.0,
20
+ "step": 10
21
+ },
22
+ {
23
+ "entropy": 0.4691743772476912,
24
+ "epoch": 0.05854372484449323,
25
+ "grad_norm": 213.0,
26
+ "learning_rate": 3.8000000000000005e-06,
27
+ "loss": 0.7404,
28
+ "mean_token_accuracy": 0.8850074164569378,
29
+ "num_tokens": 364483.0,
30
+ "step": 20
31
+ },
32
+ {
33
+ "entropy": 0.4770399186760187,
34
+ "epoch": 0.08781558726673985,
35
+ "grad_norm": 15.5,
36
+ "learning_rate": 5.8e-06,
37
+ "loss": 0.4118,
38
+ "mean_token_accuracy": 0.9136587515473366,
39
+ "num_tokens": 544552.0,
40
+ "step": 30
41
+ },
42
+ {
43
+ "entropy": 0.4692947888746858,
44
+ "epoch": 0.11708744968898646,
45
+ "grad_norm": 11.9375,
46
+ "learning_rate": 7.800000000000002e-06,
47
+ "loss": 0.2463,
48
+ "mean_token_accuracy": 0.9470756828784943,
49
+ "num_tokens": 717853.0,
50
+ "step": 40
51
+ },
52
+ {
53
+ "entropy": 0.4310881284996867,
54
+ "epoch": 0.14635931211123307,
55
+ "grad_norm": 37.75,
56
+ "learning_rate": 9.800000000000001e-06,
57
+ "loss": 0.1406,
58
+ "mean_token_accuracy": 0.967316172271967,
59
+ "num_tokens": 892769.0,
60
+ "step": 50
61
+ },
62
+ {
63
+ "entropy": 0.47044283971190454,
64
+ "epoch": 0.1756311745334797,
65
+ "grad_norm": 5.90625,
66
+ "learning_rate": 9.997902051783373e-06,
67
+ "loss": 0.1637,
68
+ "mean_token_accuracy": 0.9594391070306301,
69
+ "num_tokens": 1062544.0,
70
+ "step": 60
71
+ },
72
+ {
73
+ "entropy": 0.4564293924719095,
74
+ "epoch": 0.20490303695572631,
75
+ "grad_norm": 8.8125,
76
+ "learning_rate": 9.990652145366113e-06,
77
+ "loss": 0.1078,
78
+ "mean_token_accuracy": 0.9732326805591583,
79
+ "num_tokens": 1238635.0,
80
+ "step": 70
81
+ },
82
+ {
83
+ "entropy": 0.48633960634469986,
84
+ "epoch": 0.23417489937797292,
85
+ "grad_norm": 3.296875,
86
+ "learning_rate": 9.978231889316302e-06,
87
+ "loss": 0.1079,
88
+ "mean_token_accuracy": 0.9725632824003696,
89
+ "num_tokens": 1422527.0,
90
+ "step": 80
91
+ },
92
+ {
93
+ "entropy": 0.5045951271429658,
94
+ "epoch": 0.26344676180021953,
95
+ "grad_norm": 4.96875,
96
+ "learning_rate": 9.960654151103846e-06,
97
+ "loss": 0.1129,
98
+ "mean_token_accuracy": 0.971237526088953,
99
+ "num_tokens": 1604412.0,
100
+ "step": 90
101
+ },
102
+ {
103
+ "entropy": 0.5754191160202027,
104
+ "epoch": 0.29271862422246614,
105
+ "grad_norm": 3.546875,
106
+ "learning_rate": 9.937937141385323e-06,
107
+ "loss": 0.1192,
108
+ "mean_token_accuracy": 0.9681814014911652,
109
+ "num_tokens": 1785808.0,
110
+ "step": 100
111
+ },
112
+ {
113
+ "entropy": 0.6233104987069964,
114
+ "epoch": 0.32199048664471275,
115
+ "grad_norm": 16.875,
116
+ "learning_rate": 9.91010439513761e-06,
117
+ "loss": 0.1532,
118
+ "mean_token_accuracy": 0.9626872226595878,
119
+ "num_tokens": 1963662.0,
120
+ "step": 110
121
+ },
122
+ {
123
+ "entropy": 0.592149405926466,
124
+ "epoch": 0.3512623490669594,
125
+ "grad_norm": 7.3125,
126
+ "learning_rate": 9.87718474727549e-06,
127
+ "loss": 0.1171,
128
+ "mean_token_accuracy": 0.9693892918527126,
129
+ "num_tokens": 2138861.0,
130
+ "step": 120
131
+ },
132
+ {
133
+ "entropy": 0.5508204206824303,
134
+ "epoch": 0.380534211489206,
135
+ "grad_norm": 11.875,
136
+ "learning_rate": 9.839212302778493e-06,
137
+ "loss": 0.0928,
138
+ "mean_token_accuracy": 0.9756750777363777,
139
+ "num_tokens": 2314376.0,
140
+ "step": 130
141
+ },
142
+ {
143
+ "entropy": 0.5581824988126755,
144
+ "epoch": 0.40980607391145263,
145
+ "grad_norm": 5.4375,
146
+ "learning_rate": 9.796226401357884e-06,
147
+ "loss": 0.1213,
148
+ "mean_token_accuracy": 0.9697595350444317,
149
+ "num_tokens": 2494288.0,
150
+ "step": 140
151
+ },
152
+ {
153
+ "entropy": 0.5680775640532374,
154
+ "epoch": 0.43907793633369924,
155
+ "grad_norm": 3.390625,
156
+ "learning_rate": 9.748271576700476e-06,
157
+ "loss": 0.1081,
158
+ "mean_token_accuracy": 0.9728541418910026,
159
+ "num_tokens": 2682554.0,
160
+ "step": 150
161
+ },
162
+ {
163
+ "entropy": 0.5555528217926622,
164
+ "epoch": 0.46834979875594585,
165
+ "grad_norm": 28.875,
166
+ "learning_rate": 9.69539751033141e-06,
167
+ "loss": 0.1001,
168
+ "mean_token_accuracy": 0.972498145699501,
169
+ "num_tokens": 2855437.0,
170
+ "step": 160
171
+ },
172
+ {
173
+ "entropy": 0.5888866983354092,
174
+ "epoch": 0.49762166117819245,
175
+ "grad_norm": 6.0625,
176
+ "learning_rate": 9.637658980143771e-06,
177
+ "loss": 0.091,
178
+ "mean_token_accuracy": 0.9761380776762962,
179
+ "num_tokens": 3034970.0,
180
+ "step": 170
181
+ },
182
+ {
183
+ "entropy": 0.6018309678882361,
184
+ "epoch": 0.5268935236004391,
185
+ "grad_norm": 5.09375,
186
+ "learning_rate": 9.575115803648303e-06,
187
+ "loss": 0.0946,
188
+ "mean_token_accuracy": 0.9742907010018825,
189
+ "num_tokens": 3208412.0,
190
+ "step": 180
191
+ },
192
+ {
193
+ "entropy": 0.6276524242013692,
194
+ "epoch": 0.5561653860226857,
195
+ "grad_norm": 2.75,
196
+ "learning_rate": 9.507832776002069e-06,
197
+ "loss": 0.0982,
198
+ "mean_token_accuracy": 0.9730873227119445,
199
+ "num_tokens": 3395494.0,
200
+ "step": 190
201
+ },
202
+ {
203
+ "entropy": 0.6615390798076988,
204
+ "epoch": 0.5854372484449323,
205
+ "grad_norm": 4.46875,
206
+ "learning_rate": 9.43587960288023e-06,
207
+ "loss": 0.1392,
208
+ "mean_token_accuracy": 0.965959795564413,
209
+ "num_tokens": 3573674.0,
210
+ "step": 200
211
+ },
212
+ {
213
+ "entropy": 0.6626946024596692,
214
+ "epoch": 0.6147091108671789,
215
+ "grad_norm": 20.125,
216
+ "learning_rate": 9.359330828260477e-06,
217
+ "loss": 0.1367,
218
+ "mean_token_accuracy": 0.9644782721996308,
219
+ "num_tokens": 3749797.0,
220
+ "step": 210
221
+ },
222
+ {
223
+ "entropy": 0.6417636029422283,
224
+ "epoch": 0.6439809732894255,
225
+ "grad_norm": 7.71875,
226
+ "learning_rate": 9.278265757194983e-06,
227
+ "loss": 0.0971,
228
+ "mean_token_accuracy": 0.9736645758152008,
229
+ "num_tokens": 3927226.0,
230
+ "step": 220
231
+ },
232
+ {
233
+ "entropy": 0.6675109906122089,
234
+ "epoch": 0.6732528357116722,
235
+ "grad_norm": 20.375,
236
+ "learning_rate": 9.1927683736498e-06,
237
+ "loss": 0.1292,
238
+ "mean_token_accuracy": 0.9648571148514747,
239
+ "num_tokens": 4107295.0,
240
+ "step": 230
241
+ },
242
+ {
243
+ "entropy": 0.6541570518165827,
244
+ "epoch": 0.7025246981339188,
245
+ "grad_norm": 11.875,
246
+ "learning_rate": 9.102927253496926e-06,
247
+ "loss": 0.1156,
248
+ "mean_token_accuracy": 0.9699708484113216,
249
+ "num_tokens": 4286908.0,
250
+ "step": 240
251
+ },
252
+ {
253
+ "entropy": 0.6058449555188418,
254
+ "epoch": 0.7317965605561654,
255
+ "grad_norm": 6.78125,
256
+ "learning_rate": 9.008835472749085e-06,
257
+ "loss": 0.0923,
258
+ "mean_token_accuracy": 0.9739408694207669,
259
+ "num_tokens": 4467461.0,
260
+ "step": 250
261
+ },
262
+ {
263
+ "entropy": 0.6178297221660614,
264
+ "epoch": 0.761068422978412,
265
+ "grad_norm": 5.25,
266
+ "learning_rate": 8.910590511132339e-06,
267
+ "loss": 0.0817,
268
+ "mean_token_accuracy": 0.9773662097752094,
269
+ "num_tokens": 4646737.0,
270
+ "step": 260
271
+ },
272
+ {
273
+ "entropy": 0.6829405203461647,
274
+ "epoch": 0.7903402854006586,
275
+ "grad_norm": 3.40625,
276
+ "learning_rate": 8.808294151096436e-06,
277
+ "loss": 0.092,
278
+ "mean_token_accuracy": 0.9755907997488975,
279
+ "num_tokens": 4821010.0,
280
+ "step": 270
281
+ },
282
+ {
283
+ "entropy": 0.6392896398901939,
284
+ "epoch": 0.8196121478229053,
285
+ "grad_norm": 4.65625,
286
+ "learning_rate": 8.702052372367496e-06,
287
+ "loss": 0.0871,
288
+ "mean_token_accuracy": 0.9771530278027057,
289
+ "num_tokens": 4999440.0,
290
+ "step": 280
291
+ },
292
+ {
293
+ "entropy": 0.7133271377533674,
294
+ "epoch": 0.8488840102451518,
295
+ "grad_norm": 12.3125,
296
+ "learning_rate": 8.591975242152293e-06,
297
+ "loss": 0.1063,
298
+ "mean_token_accuracy": 0.9715632744133472,
299
+ "num_tokens": 5171265.0,
300
+ "step": 290
301
+ },
302
+ {
303
+ "entropy": 0.6667846977710724,
304
+ "epoch": 0.8781558726673985,
305
+ "grad_norm": 3.71875,
306
+ "learning_rate": 8.478176801107872e-06,
307
+ "loss": 0.1216,
308
+ "mean_token_accuracy": 0.9661677174270153,
309
+ "num_tokens": 5338761.0,
310
+ "step": 300
311
+ },
312
+ {
313
+ "entropy": 0.7178533673286438,
314
+ "epoch": 0.907427735089645,
315
+ "grad_norm": 8.6875,
316
+ "learning_rate": 8.360774945194666e-06,
317
+ "loss": 0.1041,
318
+ "mean_token_accuracy": 0.9715993881225586,
319
+ "num_tokens": 5515062.0,
320
+ "step": 310
321
+ },
322
+ {
323
+ "entropy": 0.7344689719378948,
324
+ "epoch": 0.9366995975118917,
325
+ "grad_norm": 3.5,
326
+ "learning_rate": 8.239891303535457e-06,
327
+ "loss": 0.0974,
328
+ "mean_token_accuracy": 0.9735251195728779,
329
+ "num_tokens": 5696911.0,
330
+ "step": 320
331
+ },
332
+ {
333
+ "entropy": 0.7144436400383711,
334
+ "epoch": 0.9659714599341384,
335
+ "grad_norm": 6.15625,
336
+ "learning_rate": 8.1156511124068e-06,
337
+ "loss": 0.0817,
338
+ "mean_token_accuracy": 0.9768537104129791,
339
+ "num_tokens": 5869301.0,
340
+ "step": 330
341
+ },
342
+ {
343
+ "entropy": 0.6643564581871033,
344
+ "epoch": 0.9952433223563849,
345
+ "grad_norm": 7.25,
346
+ "learning_rate": 7.988183085493362e-06,
347
+ "loss": 0.1041,
348
+ "mean_token_accuracy": 0.971296526491642,
349
+ "num_tokens": 6044424.0,
350
+ "step": 340
351
+ },
352
+ {
353
+ "entropy": 0.6510233766846842,
354
+ "epoch": 1.0234174899377972,
355
+ "grad_norm": 9.375,
356
+ "learning_rate": 7.85761928053969e-06,
357
+ "loss": 0.0824,
358
+ "mean_token_accuracy": 0.9768819661883564,
359
+ "num_tokens": 6217116.0,
360
+ "step": 350
361
+ },
362
+ {
363
+ "entropy": 0.6857636030763388,
364
+ "epoch": 1.0526893523600438,
365
+ "grad_norm": 5.0625,
366
+ "learning_rate": 7.72409496253747e-06,
367
+ "loss": 0.0949,
368
+ "mean_token_accuracy": 0.9749896325170994,
369
+ "num_tokens": 6387512.0,
370
+ "step": 360
371
+ },
372
+ {
373
+ "entropy": 0.6679304147139191,
374
+ "epoch": 1.0819612147822906,
375
+ "grad_norm": 2.8125,
376
+ "learning_rate": 7.5877484635900876e-06,
377
+ "loss": 0.0958,
378
+ "mean_token_accuracy": 0.9742133662104606,
379
+ "num_tokens": 6573367.0,
380
+ "step": 370
381
+ },
382
+ {
383
+ "entropy": 0.6774611625820398,
384
+ "epoch": 1.1112330772045371,
385
+ "grad_norm": 12.9375,
386
+ "learning_rate": 7.448721039599616e-06,
387
+ "loss": 0.1029,
388
+ "mean_token_accuracy": 0.972662803530693,
389
+ "num_tokens": 6751810.0,
390
+ "step": 380
391
+ },
392
+ {
393
+ "entropy": 0.6481307320296764,
394
+ "epoch": 1.1405049396267837,
395
+ "grad_norm": 19.375,
396
+ "learning_rate": 7.307156723924742e-06,
397
+ "loss": 0.0842,
398
+ "mean_token_accuracy": 0.9763316512107849,
399
+ "num_tokens": 6940710.0,
400
+ "step": 390
401
+ },
402
+ {
403
+ "entropy": 0.6626342430710792,
404
+ "epoch": 1.1697768020490305,
405
+ "grad_norm": 3.640625,
406
+ "learning_rate": 7.1632021781612305e-06,
407
+ "loss": 0.0834,
408
+ "mean_token_accuracy": 0.9770378485321999,
409
+ "num_tokens": 7120616.0,
410
+ "step": 400
411
+ },
412
+ {
413
+ "entropy": 0.689614738151431,
414
+ "epoch": 1.199048664471277,
415
+ "grad_norm": 7.59375,
416
+ "learning_rate": 7.017006540199501e-06,
417
+ "loss": 0.0962,
418
+ "mean_token_accuracy": 0.9729363858699799,
419
+ "num_tokens": 7295346.0,
420
+ "step": 410
421
+ },
422
+ {
423
+ "entropy": 0.731178673915565,
424
+ "epoch": 1.2283205268935236,
425
+ "grad_norm": 56.25,
426
+ "learning_rate": 6.8687212697167685e-06,
427
+ "loss": 0.1229,
428
+ "mean_token_accuracy": 0.9676964573562146,
429
+ "num_tokens": 7473599.0,
430
+ "step": 420
431
+ },
432
+ {
433
+ "entropy": 0.6449350535869598,
434
+ "epoch": 1.25759238931577,
435
+ "grad_norm": 15.5,
436
+ "learning_rate": 6.718499991263776e-06,
437
+ "loss": 0.0794,
438
+ "mean_token_accuracy": 0.9775209553539753,
439
+ "num_tokens": 7666324.0,
440
+ "step": 430
441
+ },
442
+ {
443
+ "entropy": 0.6695770636200905,
444
+ "epoch": 1.2868642517380169,
445
+ "grad_norm": 10.4375,
446
+ "learning_rate": 6.566498335108719e-06,
447
+ "loss": 0.1376,
448
+ "mean_token_accuracy": 0.9635490447282791,
449
+ "num_tokens": 7842308.0,
450
+ "step": 440
451
+ },
452
+ {
453
+ "entropy": 0.6306964188814164,
454
+ "epoch": 1.3161361141602634,
455
+ "grad_norm": 13.4375,
456
+ "learning_rate": 6.412873776003224e-06,
457
+ "loss": 0.0804,
458
+ "mean_token_accuracy": 0.9786465026438236,
459
+ "num_tokens": 8027201.0,
460
+ "step": 450
461
+ },
462
+ {
463
+ "entropy": 0.6525185916572809,
464
+ "epoch": 1.34540797658251,
465
+ "grad_norm": 9.4375,
466
+ "learning_rate": 6.2577854700374326e-06,
467
+ "loss": 0.073,
468
+ "mean_token_accuracy": 0.9785589501261711,
469
+ "num_tokens": 8198350.0,
470
+ "step": 460
471
+ },
472
+ {
473
+ "entropy": 0.6055996913462878,
474
+ "epoch": 1.3746798390047568,
475
+ "grad_norm": 4.375,
476
+ "learning_rate": 6.101394089753215e-06,
477
+ "loss": 0.091,
478
+ "mean_token_accuracy": 0.9752737417817116,
479
+ "num_tokens": 8384460.0,
480
+ "step": 470
481
+ },
482
+ {
483
+ "entropy": 0.6333212267607451,
484
+ "epoch": 1.4039517014270033,
485
+ "grad_norm": 4.25,
486
+ "learning_rate": 5.9438616576863085e-06,
487
+ "loss": 0.0817,
488
+ "mean_token_accuracy": 0.9772769220173358,
489
+ "num_tokens": 8555391.0,
490
+ "step": 480
491
+ },
492
+ {
493
+ "entropy": 0.6566504757851362,
494
+ "epoch": 1.4332235638492499,
495
+ "grad_norm": 6.34375,
496
+ "learning_rate": 5.785351378509875e-06,
497
+ "loss": 0.0844,
498
+ "mean_token_accuracy": 0.9760506093502045,
499
+ "num_tokens": 8734253.0,
500
+ "step": 490
501
+ },
502
+ {
503
+ "entropy": 0.6695024535059929,
504
+ "epoch": 1.4624954262714964,
505
+ "grad_norm": 11.9375,
506
+ "learning_rate": 5.626027469953345e-06,
507
+ "loss": 0.1066,
508
+ "mean_token_accuracy": 0.9704300530254841,
509
+ "num_tokens": 8910777.0,
510
+ "step": 500
511
+ }
512
+ ],
513
+ "logging_steps": 10,
514
+ "max_steps": 1026,
515
+ "num_input_tokens_seen": 0,
516
+ "num_train_epochs": 3,
517
+ "save_steps": 100,
518
+ "stateful_callbacks": {
519
+ "TrainerControl": {
520
+ "args": {
521
+ "should_epoch_stop": false,
522
+ "should_evaluate": false,
523
+ "should_log": false,
524
+ "should_save": true,
525
+ "should_training_stop": false
526
+ },
527
+ "attributes": {}
528
+ }
529
+ },
530
+ "total_flos": 4.353167433816843e+17,
531
+ "train_batch_size": 1,
532
+ "trial_name": null,
533
+ "trial_params": null
534
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8bf9d7f4c5883f4caa37390e8adc4eb0802edcfe7cd685261d66188794f70edd
3
+ size 5816
video_preprocessor_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": null,
3
+ "data_format": "channels_first",
4
+ "default_to_square": true,
5
+ "device": null,
6
+ "do_center_crop": null,
7
+ "do_convert_rgb": true,
8
+ "do_normalize": true,
9
+ "do_rescale": true,
10
+ "do_resize": true,
11
+ "do_sample_frames": true,
12
+ "fps": 2,
13
+ "image_mean": [
14
+ 0.5,
15
+ 0.5,
16
+ 0.5
17
+ ],
18
+ "image_std": [
19
+ 0.5,
20
+ 0.5,
21
+ 0.5
22
+ ],
23
+ "input_data_format": null,
24
+ "max_frames": 768,
25
+ "merge_size": 2,
26
+ "min_frames": 4,
27
+ "num_frames": null,
28
+ "pad_size": null,
29
+ "patch_size": 16,
30
+ "processor_class": "Qwen3VLProcessor",
31
+ "resample": 3,
32
+ "rescale_factor": 0.00392156862745098,
33
+ "return_metadata": false,
34
+ "size": {
35
+ "longest_edge": 25165824,
36
+ "shortest_edge": 4096
37
+ },
38
+ "temporal_patch_size": 2,
39
+ "video_metadata": null,
40
+ "video_processor_type": "Qwen3VLVideoProcessor"
41
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff