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  1. README.md +57 -0
  2. added_tokens.json +28 -0
  3. chat_template.jinja +110 -0
  4. checkpoint-1000/added_tokens.json +28 -0
  5. checkpoint-1000/chat_template.jinja +110 -0
  6. checkpoint-1000/config.json +68 -0
  7. checkpoint-1000/generation_config.json +12 -0
  8. checkpoint-1000/merges.txt +0 -0
  9. checkpoint-1000/model.safetensors.index.json +721 -0
  10. checkpoint-1000/preprocessor_config.json +39 -0
  11. checkpoint-1000/special_tokens_map.json +31 -0
  12. checkpoint-1000/tokenizer_config.json +244 -0
  13. checkpoint-1000/trainer_state.json +1034 -0
  14. checkpoint-1000/video_preprocessor_config.json +41 -0
  15. checkpoint-1000/vocab.json +0 -0
  16. checkpoint-1042/added_tokens.json +28 -0
  17. checkpoint-1042/chat_template.jinja +110 -0
  18. checkpoint-1042/config.json +68 -0
  19. checkpoint-1042/generation_config.json +12 -0
  20. checkpoint-1042/merges.txt +0 -0
  21. checkpoint-1042/model.safetensors.index.json +721 -0
  22. checkpoint-1042/preprocessor_config.json +39 -0
  23. checkpoint-1042/special_tokens_map.json +31 -0
  24. checkpoint-1042/tokenizer_config.json +244 -0
  25. checkpoint-1042/trainer_state.json +1074 -0
  26. checkpoint-1042/video_preprocessor_config.json +41 -0
  27. checkpoint-1042/vocab.json +0 -0
  28. checkpoint-500/added_tokens.json +28 -0
  29. checkpoint-500/chat_template.jinja +110 -0
  30. checkpoint-500/config.json +68 -0
  31. checkpoint-500/generation_config.json +12 -0
  32. checkpoint-500/merges.txt +0 -0
  33. checkpoint-500/model.safetensors.index.json +721 -0
  34. checkpoint-500/preprocessor_config.json +39 -0
  35. checkpoint-500/special_tokens_map.json +31 -0
  36. checkpoint-500/tokenizer_config.json +244 -0
  37. checkpoint-500/trainer_state.json +534 -0
  38. checkpoint-500/video_preprocessor_config.json +41 -0
  39. checkpoint-500/vocab.json +0 -0
  40. config.json +68 -0
  41. generation_config.json +12 -0
  42. merges.txt +0 -0
  43. model.safetensors.index.json +721 -0
  44. preprocessor_config.json +39 -0
  45. prompt_config.yaml +81 -0
  46. special_tokens_map.json +31 -0
  47. tokenizer_config.json +244 -0
  48. training_config.json +58 -0
  49. video_preprocessor_config.json +41 -0
  50. vocab.json +0 -0
README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ model_name: AutoVLA-sft
4
+ tags:
5
+ - generated_from_trainer
6
+ - trl
7
+ - sft
8
+ licence: license
9
+ ---
10
+
11
+ # Model Card for AutoVLA-sft
12
+
13
+ This model is a fine-tuned version of [None](https://huggingface.co/None).
14
+ It has been trained using [TRL](https://github.com/huggingface/trl).
15
+
16
+ ## Quick start
17
+
18
+ ```python
19
+ from transformers import pipeline
20
+
21
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
22
+ generator = pipeline("text-generation", model="None", device="cuda")
23
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
24
+ print(output["generated_text"])
25
+ ```
26
+
27
+ ## Training procedure
28
+
29
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/mjf-su-stanford-university/matt-router/runs/l20hmfqp)
30
+
31
+
32
+
33
+ This model was trained with SFT.
34
+
35
+ ### Framework versions
36
+
37
+ - TRL: 1.4.0
38
+ - Transformers: 4.57.6
39
+ - Pytorch: 2.10.0
40
+ - Datasets: 4.8.5
41
+ - Tokenizers: 0.22.1
42
+
43
+ ## Citations
44
+
45
+
46
+
47
+ Cite TRL as:
48
+
49
+ ```bibtex
50
+ @software{vonwerra2020trl,
51
+ title = {{TRL: Transformers Reinforcement Learning}},
52
+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
53
+ license = {Apache-2.0},
54
+ url = {https://github.com/huggingface/trl},
55
+ year = {2020}
56
+ }
57
+ ```
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 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- else %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if do_vision_count %}
10
+ {%- set image_count.value = image_count.value + 1 %}
11
+ {%- endif %}
12
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
13
+ <|vision_start|><|image_pad|><|vision_end|>
14
+ {%- elif 'video' in item or item.type == 'video' %}
15
+ {%- if do_vision_count %}
16
+ {%- set video_count.value = video_count.value + 1 %}
17
+ {%- endif %}
18
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
19
+ <|vision_start|><|video_pad|><|vision_end|>
20
+ {%- elif 'text' in item %}
21
+ {{- item.text }}
22
+ {%- endif %}
23
+ {%- endfor %}
24
+ {%- endif %}
25
+ {%- endmacro %}
26
+ {%- if tools %}
27
+ {{- '<|im_start|>system\n' }}
28
+ {%- if messages[0].role == 'system' %}
29
+ {{- render_content(messages[0].content, false) + '\n\n' }}
30
+ {%- endif %}
31
+ {{- "# 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>" }}
32
+ {%- for tool in tools %}
33
+ {{- "\n" }}
34
+ {{- tool | tojson }}
35
+ {%- endfor %}
36
+ {{- "\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" }}
37
+ {%- else %}
38
+ {%- if messages[0].role == 'system' %}
39
+ {{- '<|im_start|>system\n' + render_content(messages[0].content, false) + '<|im_end|>\n' }}
40
+ {%- endif %}
41
+ {%- endif %}
42
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
43
+ {%- for message in messages[::-1] %}
44
+ {%- set index = (messages|length - 1) - loop.index0 %}
45
+ {%- if ns.multi_step_tool and message.role == "user" %}
46
+ {%- set content = render_content(message.content, false) %}
47
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
48
+ {%- set ns.multi_step_tool = false %}
49
+ {%- set ns.last_query_index = index %}
50
+ {%- endif %}
51
+ {%- endif %}
52
+ {%- endfor %}
53
+ {%- for message in messages %}
54
+ {%- set content = render_content(message.content, True) %}
55
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
56
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
57
+ {%- elif message.role == "assistant" %}
58
+ {%- set reasoning_content = '' %}
59
+ {%- if message.reasoning_content is string %}
60
+ {%- set reasoning_content = message.reasoning_content %}
61
+ {%- else %}
62
+ {%- if '</think>' in content %}
63
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
64
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- if loop.index0 > ns.last_query_index %}
68
+ {%- if loop.last or (not loop.last and reasoning_content) %}
69
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
70
+ {%- else %}
71
+ {{- '<|im_start|>' + message.role + '\n' + content }}
72
+ {%- endif %}
73
+ {%- else %}
74
+ {{- '<|im_start|>' + message.role + '\n' + content }}
75
+ {%- endif %}
76
+ {%- if message.tool_calls %}
77
+ {%- for tool_call in message.tool_calls %}
78
+ {%- if (loop.first and content) or (not loop.first) %}
79
+ {{- '\n' }}
80
+ {%- endif %}
81
+ {%- if tool_call.function %}
82
+ {%- set tool_call = tool_call.function %}
83
+ {%- endif %}
84
+ {{- '<tool_call>\n{"name": "' }}
85
+ {{- tool_call.name }}
86
+ {{- '", "arguments": ' }}
87
+ {%- if tool_call.arguments is string %}
88
+ {{- tool_call.arguments }}
89
+ {%- else %}
90
+ {{- tool_call.arguments | tojson }}
91
+ {%- endif %}
92
+ {{- '}\n</tool_call>' }}
93
+ {%- endfor %}
94
+ {%- endif %}
95
+ {{- '<|im_end|>\n' }}
96
+ {%- elif message.role == "tool" %}
97
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
98
+ {{- '<|im_start|>user' }}
99
+ {%- endif %}
100
+ {{- '\n<tool_response>\n' }}
101
+ {{- content }}
102
+ {{- '\n</tool_response>' }}
103
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
104
+ {{- '<|im_end|>\n' }}
105
+ {%- endif %}
106
+ {%- endif %}
107
+ {%- endfor %}
108
+ {%- if add_generation_prompt %}
109
+ {{- '<|im_start|>assistant\n' }}
110
+ {%- endif %}
checkpoint-1000/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
+ }
checkpoint-1000/chat_template.jinja ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- else %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if do_vision_count %}
10
+ {%- set image_count.value = image_count.value + 1 %}
11
+ {%- endif %}
12
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
13
+ <|vision_start|><|image_pad|><|vision_end|>
14
+ {%- elif 'video' in item or item.type == 'video' %}
15
+ {%- if do_vision_count %}
16
+ {%- set video_count.value = video_count.value + 1 %}
17
+ {%- endif %}
18
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
19
+ <|vision_start|><|video_pad|><|vision_end|>
20
+ {%- elif 'text' in item %}
21
+ {{- item.text }}
22
+ {%- endif %}
23
+ {%- endfor %}
24
+ {%- endif %}
25
+ {%- endmacro %}
26
+ {%- if tools %}
27
+ {{- '<|im_start|>system\n' }}
28
+ {%- if messages[0].role == 'system' %}
29
+ {{- render_content(messages[0].content, false) + '\n\n' }}
30
+ {%- endif %}
31
+ {{- "# 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>" }}
32
+ {%- for tool in tools %}
33
+ {{- "\n" }}
34
+ {{- tool | tojson }}
35
+ {%- endfor %}
36
+ {{- "\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" }}
37
+ {%- else %}
38
+ {%- if messages[0].role == 'system' %}
39
+ {{- '<|im_start|>system\n' + render_content(messages[0].content, false) + '<|im_end|>\n' }}
40
+ {%- endif %}
41
+ {%- endif %}
42
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
43
+ {%- for message in messages[::-1] %}
44
+ {%- set index = (messages|length - 1) - loop.index0 %}
45
+ {%- if ns.multi_step_tool and message.role == "user" %}
46
+ {%- set content = render_content(message.content, false) %}
47
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
48
+ {%- set ns.multi_step_tool = false %}
49
+ {%- set ns.last_query_index = index %}
50
+ {%- endif %}
51
+ {%- endif %}
52
+ {%- endfor %}
53
+ {%- for message in messages %}
54
+ {%- set content = render_content(message.content, True) %}
55
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
56
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
57
+ {%- elif message.role == "assistant" %}
58
+ {%- set reasoning_content = '' %}
59
+ {%- if message.reasoning_content is string %}
60
+ {%- set reasoning_content = message.reasoning_content %}
61
+ {%- else %}
62
+ {%- if '</think>' in content %}
63
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
64
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- if loop.index0 > ns.last_query_index %}
68
+ {%- if loop.last or (not loop.last and reasoning_content) %}
69
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
70
+ {%- else %}
71
+ {{- '<|im_start|>' + message.role + '\n' + content }}
72
+ {%- endif %}
73
+ {%- else %}
74
+ {{- '<|im_start|>' + message.role + '\n' + content }}
75
+ {%- endif %}
76
+ {%- if message.tool_calls %}
77
+ {%- for tool_call in message.tool_calls %}
78
+ {%- if (loop.first and content) or (not loop.first) %}
79
+ {{- '\n' }}
80
+ {%- endif %}
81
+ {%- if tool_call.function %}
82
+ {%- set tool_call = tool_call.function %}
83
+ {%- endif %}
84
+ {{- '<tool_call>\n{"name": "' }}
85
+ {{- tool_call.name }}
86
+ {{- '", "arguments": ' }}
87
+ {%- if tool_call.arguments is string %}
88
+ {{- tool_call.arguments }}
89
+ {%- else %}
90
+ {{- tool_call.arguments | tojson }}
91
+ {%- endif %}
92
+ {{- '}\n</tool_call>' }}
93
+ {%- endfor %}
94
+ {%- endif %}
95
+ {{- '<|im_end|>\n' }}
96
+ {%- elif message.role == "tool" %}
97
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
98
+ {{- '<|im_start|>user' }}
99
+ {%- endif %}
100
+ {{- '\n<tool_response>\n' }}
101
+ {{- content }}
102
+ {{- '\n</tool_response>' }}
103
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
104
+ {{- '<|im_end|>\n' }}
105
+ {%- endif %}
106
+ {%- endif %}
107
+ {%- endfor %}
108
+ {%- if add_generation_prompt %}
109
+ {{- '<|im_start|>assistant\n' }}
110
+ {%- endif %}
checkpoint-1000/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3VLForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "eos_token_id": 151645,
7
+ "image_token_id": 151655,
8
+ "model_type": "qwen3_vl",
9
+ "pad_token_id": 151643,
10
+ "text_config": {
11
+ "attention_bias": false,
12
+ "attention_dropout": 0.0,
13
+ "bos_token_id": 151643,
14
+ "dtype": "bfloat16",
15
+ "eos_token_id": 151645,
16
+ "head_dim": 128,
17
+ "hidden_act": "silu",
18
+ "hidden_size": 2560,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 9728,
21
+ "max_position_embeddings": 262144,
22
+ "model_type": "qwen3_vl_text",
23
+ "num_attention_heads": 32,
24
+ "num_hidden_layers": 36,
25
+ "num_key_value_heads": 8,
26
+ "rms_norm_eps": 1e-06,
27
+ "rope_scaling": {
28
+ "mrope_interleaved": true,
29
+ "mrope_section": [
30
+ 24,
31
+ 20,
32
+ 20
33
+ ],
34
+ "rope_type": "default"
35
+ },
36
+ "rope_theta": 5000000,
37
+ "tie_word_embeddings": true,
38
+ "use_cache": true,
39
+ "vocab_size": 151936
40
+ },
41
+ "tie_word_embeddings": true,
42
+ "transformers_version": "4.57.6",
43
+ "use_cache": false,
44
+ "video_token_id": 151656,
45
+ "vision_config": {
46
+ "deepstack_visual_indexes": [
47
+ 5,
48
+ 11,
49
+ 17
50
+ ],
51
+ "depth": 24,
52
+ "dtype": "bfloat16",
53
+ "hidden_act": "gelu_pytorch_tanh",
54
+ "hidden_size": 1024,
55
+ "in_channels": 3,
56
+ "initializer_range": 0.02,
57
+ "intermediate_size": 4096,
58
+ "model_type": "qwen3_vl",
59
+ "num_heads": 16,
60
+ "num_position_embeddings": 2304,
61
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+ "num_tokens": 342692717.0,
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+ "step": 1000
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+ }
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+ ],
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+ "logging_steps": 10,
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+ "max_steps": 1042,
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+ "num_input_tokens_seen": 0,
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+ "num_train_epochs": 1,
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+ "save_steps": 500,
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+ "stateful_callbacks": {
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+ "TrainerControl": {
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+ "args": {
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+ "should_epoch_stop": false,
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+ "should_evaluate": false,
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+ "should_log": false,
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+ "should_save": true,
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+ "should_training_stop": false
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+ },
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+ "attributes": {}
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+ }
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+ },
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+ "total_flos": 8.762403376047587e+18,
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+ "train_batch_size": 16,
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+ "trial_name": null,
1033
+ "trial_params": null
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+ }
checkpoint-1000/video_preprocessor_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": null,
3
+ "data_format": "channels_first",
4
+ "default_to_square": true,
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+ "device": null,
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+ "do_center_crop": null,
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+ "do_convert_rgb": true,
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+ "do_normalize": true,
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+ "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
+ ],
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+ "image_std": [
19
+ 0.5,
20
+ 0.5,
21
+ 0.5
22
+ ],
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+ "input_data_format": null,
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+ "max_frames": 768,
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+ "merge_size": 2,
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+ "min_frames": 4,
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+ "num_frames": null,
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+ "pad_size": null,
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+ "patch_size": 16,
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+ "processor_class": "Qwen3VLProcessor",
31
+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ "return_metadata": false,
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+ "size": {
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+ "longest_edge": 25165824,
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+ "shortest_edge": 4096
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+ },
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+ "temporal_patch_size": 2,
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+ "video_metadata": null,
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+ "video_processor_type": "Qwen3VLVideoProcessor"
41
+ }
checkpoint-1000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1042/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
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+ "</tool_call>": 151658,
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+ "</tool_response>": 151666,
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+ "<think>": 151667,
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+ "<tool_call>": 151657,
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+ "<tool_response>": 151665,
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+ "<|box_end|>": 151649,
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+ "<|box_start|>": 151648,
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+ "<|endoftext|>": 151643,
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+ "<|file_sep|>": 151664,
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+ "<|fim_middle|>": 151660,
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+ "<|fim_pad|>": 151662,
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+ "<|fim_prefix|>": 151659,
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+ "<|fim_suffix|>": 151661,
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+ "<|im_end|>": 151645,
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+ "<|im_start|>": 151644,
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+ "<|image_pad|>": 151655,
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+ "<|object_ref_end|>": 151647,
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+ "<|object_ref_start|>": 151646,
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+ "<|quad_end|>": 151651,
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+ "<|quad_start|>": 151650,
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+ "<|repo_name|>": 151663,
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+ "<|video_pad|>": 151656,
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+ "<|vision_end|>": 151653,
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+ "<|vision_pad|>": 151654,
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+ "<|vision_start|>": 151652
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+ }
checkpoint-1042/chat_template.jinja ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- else %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if do_vision_count %}
10
+ {%- set image_count.value = image_count.value + 1 %}
11
+ {%- endif %}
12
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
13
+ <|vision_start|><|image_pad|><|vision_end|>
14
+ {%- elif 'video' in item or item.type == 'video' %}
15
+ {%- if do_vision_count %}
16
+ {%- set video_count.value = video_count.value + 1 %}
17
+ {%- endif %}
18
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
19
+ <|vision_start|><|video_pad|><|vision_end|>
20
+ {%- elif 'text' in item %}
21
+ {{- item.text }}
22
+ {%- endif %}
23
+ {%- endfor %}
24
+ {%- endif %}
25
+ {%- endmacro %}
26
+ {%- if tools %}
27
+ {{- '<|im_start|>system\n' }}
28
+ {%- if messages[0].role == 'system' %}
29
+ {{- render_content(messages[0].content, false) + '\n\n' }}
30
+ {%- endif %}
31
+ {{- "# 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>" }}
32
+ {%- for tool in tools %}
33
+ {{- "\n" }}
34
+ {{- tool | tojson }}
35
+ {%- endfor %}
36
+ {{- "\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" }}
37
+ {%- else %}
38
+ {%- if messages[0].role == 'system' %}
39
+ {{- '<|im_start|>system\n' + render_content(messages[0].content, false) + '<|im_end|>\n' }}
40
+ {%- endif %}
41
+ {%- endif %}
42
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
43
+ {%- for message in messages[::-1] %}
44
+ {%- set index = (messages|length - 1) - loop.index0 %}
45
+ {%- if ns.multi_step_tool and message.role == "user" %}
46
+ {%- set content = render_content(message.content, false) %}
47
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
48
+ {%- set ns.multi_step_tool = false %}
49
+ {%- set ns.last_query_index = index %}
50
+ {%- endif %}
51
+ {%- endif %}
52
+ {%- endfor %}
53
+ {%- for message in messages %}
54
+ {%- set content = render_content(message.content, True) %}
55
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
56
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
57
+ {%- elif message.role == "assistant" %}
58
+ {%- set reasoning_content = '' %}
59
+ {%- if message.reasoning_content is string %}
60
+ {%- set reasoning_content = message.reasoning_content %}
61
+ {%- else %}
62
+ {%- if '</think>' in content %}
63
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
64
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- if loop.index0 > ns.last_query_index %}
68
+ {%- if loop.last or (not loop.last and reasoning_content) %}
69
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
70
+ {%- else %}
71
+ {{- '<|im_start|>' + message.role + '\n' + content }}
72
+ {%- endif %}
73
+ {%- else %}
74
+ {{- '<|im_start|>' + message.role + '\n' + content }}
75
+ {%- endif %}
76
+ {%- if message.tool_calls %}
77
+ {%- for tool_call in message.tool_calls %}
78
+ {%- if (loop.first and content) or (not loop.first) %}
79
+ {{- '\n' }}
80
+ {%- endif %}
81
+ {%- if tool_call.function %}
82
+ {%- set tool_call = tool_call.function %}
83
+ {%- endif %}
84
+ {{- '<tool_call>\n{"name": "' }}
85
+ {{- tool_call.name }}
86
+ {{- '", "arguments": ' }}
87
+ {%- if tool_call.arguments is string %}
88
+ {{- tool_call.arguments }}
89
+ {%- else %}
90
+ {{- tool_call.arguments | tojson }}
91
+ {%- endif %}
92
+ {{- '}\n</tool_call>' }}
93
+ {%- endfor %}
94
+ {%- endif %}
95
+ {{- '<|im_end|>\n' }}
96
+ {%- elif message.role == "tool" %}
97
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
98
+ {{- '<|im_start|>user' }}
99
+ {%- endif %}
100
+ {{- '\n<tool_response>\n' }}
101
+ {{- content }}
102
+ {{- '\n</tool_response>' }}
103
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
104
+ {{- '<|im_end|>\n' }}
105
+ {%- endif %}
106
+ {%- endif %}
107
+ {%- endfor %}
108
+ {%- if add_generation_prompt %}
109
+ {{- '<|im_start|>assistant\n' }}
110
+ {%- endif %}
checkpoint-1042/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3VLForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "eos_token_id": 151645,
7
+ "image_token_id": 151655,
8
+ "model_type": "qwen3_vl",
9
+ "pad_token_id": 151643,
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+ "text_config": {
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+ "attention_bias": false,
12
+ "attention_dropout": 0.0,
13
+ "bos_token_id": 151643,
14
+ "dtype": "bfloat16",
15
+ "eos_token_id": 151645,
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+ "head_dim": 128,
17
+ "hidden_act": "silu",
18
+ "hidden_size": 2560,
19
+ "initializer_range": 0.02,
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+ "intermediate_size": 9728,
21
+ "max_position_embeddings": 262144,
22
+ "model_type": "qwen3_vl_text",
23
+ "num_attention_heads": 32,
24
+ "num_hidden_layers": 36,
25
+ "num_key_value_heads": 8,
26
+ "rms_norm_eps": 1e-06,
27
+ "rope_scaling": {
28
+ "mrope_interleaved": true,
29
+ "mrope_section": [
30
+ 24,
31
+ 20,
32
+ 20
33
+ ],
34
+ "rope_type": "default"
35
+ },
36
+ "rope_theta": 5000000,
37
+ "tie_word_embeddings": true,
38
+ "use_cache": true,
39
+ "vocab_size": 151936
40
+ },
41
+ "tie_word_embeddings": true,
42
+ "transformers_version": "4.57.6",
43
+ "use_cache": false,
44
+ "video_token_id": 151656,
45
+ "vision_config": {
46
+ "deepstack_visual_indexes": [
47
+ 5,
48
+ 11,
49
+ 17
50
+ ],
51
+ "depth": 24,
52
+ "dtype": "bfloat16",
53
+ "hidden_act": "gelu_pytorch_tanh",
54
+ "hidden_size": 1024,
55
+ "in_channels": 3,
56
+ "initializer_range": 0.02,
57
+ "intermediate_size": 4096,
58
+ "model_type": "qwen3_vl",
59
+ "num_heads": 16,
60
+ "num_position_embeddings": 2304,
61
+ "out_hidden_size": 2560,
62
+ "patch_size": 16,
63
+ "spatial_merge_size": 2,
64
+ "temporal_patch_size": 2
65
+ },
66
+ "vision_end_token_id": 151653,
67
+ "vision_start_token_id": 151652
68
+ }
checkpoint-1042/generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "top_k": 20,
10
+ "top_p": 0.95,
11
+ "transformers_version": "4.57.6"
12
+ }
checkpoint-1042/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1042/model.safetensors.index.json ADDED
@@ -0,0 +1,721 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 4437815808,
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+ "total_size": 8875631616
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+ },
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+ "weight_map": {
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+ "model.language_model.embed_tokens.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
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+ "model.language_model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
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1026
+ "learning_rate": 1e-06,
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+ "loss": 0.4256,
1028
+ "mean_token_accuracy": 0.844759730497996,
1029
+ "num_tokens": 349544608.0,
1030
+ "step": 1020
1031
+ },
1032
+ {
1033
+ "entropy": 0.42200866242249807,
1034
+ "epoch": 0.9888,
1035
+ "grad_norm": 0.63671875,
1036
+ "learning_rate": 1e-06,
1037
+ "loss": 0.4246,
1038
+ "mean_token_accuracy": 0.8448020040988922,
1039
+ "num_tokens": 352965052.0,
1040
+ "step": 1030
1041
+ },
1042
+ {
1043
+ "entropy": 0.4287275165319443,
1044
+ "epoch": 0.9984,
1045
+ "grad_norm": 0.87109375,
1046
+ "learning_rate": 1e-06,
1047
+ "loss": 0.4301,
1048
+ "mean_token_accuracy": 0.8430094162623087,
1049
+ "num_tokens": 356396423.0,
1050
+ "step": 1040
1051
+ }
1052
+ ],
1053
+ "logging_steps": 10,
1054
+ "max_steps": 1042,
1055
+ "num_input_tokens_seen": 0,
1056
+ "num_train_epochs": 1,
1057
+ "save_steps": 500,
1058
+ "stateful_callbacks": {
1059
+ "TrainerControl": {
1060
+ "args": {
1061
+ "should_epoch_stop": false,
1062
+ "should_evaluate": false,
1063
+ "should_log": false,
1064
+ "should_save": true,
1065
+ "should_training_stop": true
1066
+ },
1067
+ "attributes": {}
1068
+ }
1069
+ },
1070
+ "total_flos": 9.127591814801392e+18,
1071
+ "train_batch_size": 16,
1072
+ "trial_name": null,
1073
+ "trial_params": null
1074
+ }
checkpoint-1042/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
+ }
checkpoint-1042/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-500/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
+ }
checkpoint-500/chat_template.jinja ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- else %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if do_vision_count %}
10
+ {%- set image_count.value = image_count.value + 1 %}
11
+ {%- endif %}
12
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
13
+ <|vision_start|><|image_pad|><|vision_end|>
14
+ {%- elif 'video' in item or item.type == 'video' %}
15
+ {%- if do_vision_count %}
16
+ {%- set video_count.value = video_count.value + 1 %}
17
+ {%- endif %}
18
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
19
+ <|vision_start|><|video_pad|><|vision_end|>
20
+ {%- elif 'text' in item %}
21
+ {{- item.text }}
22
+ {%- endif %}
23
+ {%- endfor %}
24
+ {%- endif %}
25
+ {%- endmacro %}
26
+ {%- if tools %}
27
+ {{- '<|im_start|>system\n' }}
28
+ {%- if messages[0].role == 'system' %}
29
+ {{- render_content(messages[0].content, false) + '\n\n' }}
30
+ {%- endif %}
31
+ {{- "# 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>" }}
32
+ {%- for tool in tools %}
33
+ {{- "\n" }}
34
+ {{- tool | tojson }}
35
+ {%- endfor %}
36
+ {{- "\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" }}
37
+ {%- else %}
38
+ {%- if messages[0].role == 'system' %}
39
+ {{- '<|im_start|>system\n' + render_content(messages[0].content, false) + '<|im_end|>\n' }}
40
+ {%- endif %}
41
+ {%- endif %}
42
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
43
+ {%- for message in messages[::-1] %}
44
+ {%- set index = (messages|length - 1) - loop.index0 %}
45
+ {%- if ns.multi_step_tool and message.role == "user" %}
46
+ {%- set content = render_content(message.content, false) %}
47
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
48
+ {%- set ns.multi_step_tool = false %}
49
+ {%- set ns.last_query_index = index %}
50
+ {%- endif %}
51
+ {%- endif %}
52
+ {%- endfor %}
53
+ {%- for message in messages %}
54
+ {%- set content = render_content(message.content, True) %}
55
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
56
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
57
+ {%- elif message.role == "assistant" %}
58
+ {%- set reasoning_content = '' %}
59
+ {%- if message.reasoning_content is string %}
60
+ {%- set reasoning_content = message.reasoning_content %}
61
+ {%- else %}
62
+ {%- if '</think>' in content %}
63
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
64
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- if loop.index0 > ns.last_query_index %}
68
+ {%- if loop.last or (not loop.last and reasoning_content) %}
69
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
70
+ {%- else %}
71
+ {{- '<|im_start|>' + message.role + '\n' + content }}
72
+ {%- endif %}
73
+ {%- else %}
74
+ {{- '<|im_start|>' + message.role + '\n' + content }}
75
+ {%- endif %}
76
+ {%- if message.tool_calls %}
77
+ {%- for tool_call in message.tool_calls %}
78
+ {%- if (loop.first and content) or (not loop.first) %}
79
+ {{- '\n' }}
80
+ {%- endif %}
81
+ {%- if tool_call.function %}
82
+ {%- set tool_call = tool_call.function %}
83
+ {%- endif %}
84
+ {{- '<tool_call>\n{"name": "' }}
85
+ {{- tool_call.name }}
86
+ {{- '", "arguments": ' }}
87
+ {%- if tool_call.arguments is string %}
88
+ {{- tool_call.arguments }}
89
+ {%- else %}
90
+ {{- tool_call.arguments | tojson }}
91
+ {%- endif %}
92
+ {{- '}\n</tool_call>' }}
93
+ {%- endfor %}
94
+ {%- endif %}
95
+ {{- '<|im_end|>\n' }}
96
+ {%- elif message.role == "tool" %}
97
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
98
+ {{- '<|im_start|>user' }}
99
+ {%- endif %}
100
+ {{- '\n<tool_response>\n' }}
101
+ {{- content }}
102
+ {{- '\n</tool_response>' }}
103
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
104
+ {{- '<|im_end|>\n' }}
105
+ {%- endif %}
106
+ {%- endif %}
107
+ {%- endfor %}
108
+ {%- if add_generation_prompt %}
109
+ {{- '<|im_start|>assistant\n' }}
110
+ {%- endif %}
checkpoint-500/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3VLForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "eos_token_id": 151645,
7
+ "image_token_id": 151655,
8
+ "model_type": "qwen3_vl",
9
+ "pad_token_id": 151643,
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+ "text_config": {
11
+ "attention_bias": false,
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+ "attention_dropout": 0.0,
13
+ "bos_token_id": 151643,
14
+ "dtype": "bfloat16",
15
+ "eos_token_id": 151645,
16
+ "head_dim": 128,
17
+ "hidden_act": "silu",
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+ "hidden_size": 2560,
19
+ "initializer_range": 0.02,
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+ "intermediate_size": 9728,
21
+ "max_position_embeddings": 262144,
22
+ "model_type": "qwen3_vl_text",
23
+ "num_attention_heads": 32,
24
+ "num_hidden_layers": 36,
25
+ "num_key_value_heads": 8,
26
+ "rms_norm_eps": 1e-06,
27
+ "rope_scaling": {
28
+ "mrope_interleaved": true,
29
+ "mrope_section": [
30
+ 24,
31
+ 20,
32
+ 20
33
+ ],
34
+ "rope_type": "default"
35
+ },
36
+ "rope_theta": 5000000,
37
+ "tie_word_embeddings": true,
38
+ "use_cache": true,
39
+ "vocab_size": 151936
40
+ },
41
+ "tie_word_embeddings": true,
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+ "transformers_version": "4.57.6",
43
+ "use_cache": false,
44
+ "video_token_id": 151656,
45
+ "vision_config": {
46
+ "deepstack_visual_indexes": [
47
+ 5,
48
+ 11,
49
+ 17
50
+ ],
51
+ "depth": 24,
52
+ "dtype": "bfloat16",
53
+ "hidden_act": "gelu_pytorch_tanh",
54
+ "hidden_size": 1024,
55
+ "in_channels": 3,
56
+ "initializer_range": 0.02,
57
+ "intermediate_size": 4096,
58
+ "model_type": "qwen3_vl",
59
+ "num_heads": 16,
60
+ "num_position_embeddings": 2304,
61
+ "out_hidden_size": 2560,
62
+ "patch_size": 16,
63
+ "spatial_merge_size": 2,
64
+ "temporal_patch_size": 2
65
+ },
66
+ "vision_end_token_id": 151653,
67
+ "vision_start_token_id": 151652
68
+ }
checkpoint-500/generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "top_k": 20,
10
+ "top_p": 0.95,
11
+ "transformers_version": "4.57.6"
12
+ }
checkpoint-500/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-500/model.safetensors.index.json ADDED
@@ -0,0 +1,721 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 4437815808,
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+ "total_size": 8875631616
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+ },
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+ "weight_map": {
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prompt_config.yaml ADDED
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1
+ user:
2
+ base: |
3
+ I am the trajectory reasoning module for a vision-based autonomous vehicle operating as a taxi service in urban, suburban and rural environments. My role is to analyze the vehicle's current sensory observation and motion history in order to infer a safe and kinematically feasible set of future waypoints for the vehicle to follow.
4
+
5
+ The vehicle is equipped with a forward-facing first-person camera. You are provided with the vehicle's current camera observation, along with the vehicle's recent motion history in the last {REACTION} seconds expressed as relative waypoints e.g., (x, y, \theta) with (x, y) as cartesian coordinates (meters) and \theta as your yaw angle (radians), with respect to your current position.
6
+
7
+ Using the image provided and the vehicle's recent coordinate history below i.e., [PAST-VEHICLE-MOTION], ordered by increasing time, your job is to infer the relative waypoints for the vehicle to follow over a time horizon of {HORIZON} seconds with each waypoint sampled {F-PERIOD} seconds apart.
8
+
9
+ Your waypoints should:
10
+ - Be grounded in the vehicle's local coordinate frame with ...
11
+ 1) Origin at the vehicle's current location.
12
+ 2) The x axis corresponding to longitudinal motion with positive translation achieved by driving *forward* along your current yaw.
13
+ 3) The y axis corresponding to lateral motion with positive translation achieved by driving left *perpindicular* to your current yaw.
14
+ 4) Zero yaw straight ahead with positive yaw corresponding to a counterclock-wise rotation by the vehicle.
15
+ - Respect the apparent road geometry and lane structure visible in the camera images.
16
+ - Be consistent with the recent motion trend in [PAST-VEHICLE-MOTION].
17
+ - Prioritize safety and feasibility for your driving scenario.
18
+
19
+ Provide a sequence of future relative waypoints ordered by increasing time that represent a safe and reasonable continuation of the vehicle's trajectory under the current observation and road conditions.
20
+
21
+ [PAST-VEHICLE-MOTION]:
22
+ {INPUT-RELATIVE-WAYPOINTS}
23
+ unified: |
24
+ I am the trajectory reasoning module for a vision-based autonomous vehicle operating as a taxi service in urban, suburban and rural environments. My role is to analyze the vehicle's current sensory observation and motion history in order to infer a safe and kinematically feasible set of future waypoints for the vehicle to follow.
25
+
26
+ The vehicle is equipped with a forward-facing first-person camera. You are provided with the vehicle's current camera observation, along with the vehicle's recent motion history in the last {REACTION} seconds expressed as relative waypoints e.g., (x, y, \theta) with (x, y) as cartesian coordinates (meters) and \theta as your yaw angle (radians), with respect to your current position.
27
+
28
+ Using the image provided and the vehicle's recent coordinate history below i.e., [PAST-VEHICLE-MOTION], ordered by increasing time, your job is to infer the relative waypoints for the vehicle to follow over a time horizon of {HORIZON} seconds with each waypoint sampled {F-PERIOD} seconds apart.
29
+
30
+ Your waypoints should:
31
+ - Be grounded in the vehicle's local coordinate frame with ...
32
+ 1) Origin at the vehicle's current location.
33
+ 2) The x axis corresponding to longitudinal motion with positive translation achieved by driving *forward* along your current yaw.
34
+ 3) The y axis corresponding to lateral motion with positive translation achieved by driving left *perpendicular* to your current yaw.
35
+ 4) Zero yaw straight ahead with positive yaw corresponding to a counter-clockwise rotation by the vehicle.
36
+ - Respect the apparent road geometry and lane structure visible in the camera images.
37
+ - Be consistent with the recent motion trend in [PAST-VEHICLE-MOTION].
38
+ - Prioritize safety and feasibility for your driving scenario.
39
+
40
+ Provide a sequence of future relative waypoints, ordered by increasing time, that represent a safe and feasible continuation of the vehicle's trajectory.
41
+
42
+ [PAST-VEHICLE-MOTION]:
43
+ {INPUT-RELATIVE-WAYPOINTS}
44
+ system:
45
+ base: |
46
+ You are a helpful AI assistant and your task is to analyze the vehicle's camera image and past motion to infer a safe, kinematically feasible future trajectory.
47
+
48
+ You will be provided with past waypoints in [PAST-VEHICLE-MOTION] corresponding to the vehicle's previous position and yaw over the past {REACTION} seconds at a {B-PERIOD} second period. You must return exactly {F-WP_NUMBER} future waypoints, corresponding to the vehicle's expected position and orientation up to {HORIZON} seconds into the future at a {F-PERIOD} second period.
49
+
50
+ Each waypoint must be enclosed in the tags
51
+ <wp> ... </wp>
52
+ and must follow the same numerical format used in the [PAST-VEHICLE-MOTION] section.
53
+ unified: |
54
+ You are a helpful AI assistant. Your task is to analyze the vehicle's camera image and past motion to infer a safe, kinematically feasible future trajectory.
55
+
56
+ You will be provided with past waypoints in [PAST-VEHICLE-MOTION] corresponding to the vehicle's previous position and yaw over the past {REACTION} seconds at a {B-PERIOD} second period. You must return exactly {F-WP_NUMBER} future waypoints, corresponding to the vehicle's expected position and orientation up to {HORIZON} seconds into the future at a {F-PERIOD} second period.
57
+
58
+ Each waypoint must be enclosed in the tags <wp> ... </wp> and must follow the same numerical format used in the [PAST-VEHICLE-MOTION] section.
59
+
60
+ If the driving situation is sufficiently complex or ambiguous, you may optionally emit a reasoning block before your waypoints using the format below.
61
+
62
+ Optional reasoning format:
63
+ <think>
64
+ {
65
+ "scene": "<2-3 sentence static description of the environment>",
66
+ "move_justification": "<2-3 sentence cause-to-action explanation>",
67
+ }
68
+ </think>
69
+ <action>
70
+ Longitudinal: <longitudinal decision>
71
+ Lateral: <lateral decision>
72
+ </action>
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+
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+ Longitudinal options:
75
+ stop | yield | follow lead vehicle | gap search | pass | speed adapt |
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+ set speed tracking
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+
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+ Lateral options:
79
+ turn left | turn right | lane change left | lane change right | merge |
80
+ out-of-lane nudge left | out-of-lane nudge right | in-lane nudge left |
81
+ in-lane nudge right | pull over | lane keeping
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training_config.json ADDED
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