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- LICENSE +201 -0
- NOTICE +8 -0
- README.md +201 -0
- chat_template.jinja +154 -0
- config.json +109 -0
- generation_config.json +13 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
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- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- model.safetensors.index.json +767 -0
- processor_config.json +60 -0
- tokenizer.json +3 -0
- tokenizer_config.json +32 -0
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See the License for the specific language governing permissions and
|
| 201 |
+
limitations under the License.
|
NOTICE
ADDED
|
@@ -0,0 +1,8 @@
|
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|
| 1 |
+
Video-ORA-9B
|
| 2 |
+
Copyright 2026 The OraRL Authors
|
| 3 |
+
|
| 4 |
+
This distribution contains a fine-tuned derivative of Qwen/Qwen3.5-9B:
|
| 5 |
+
https://huggingface.co/Qwen/Qwen3.5-9B
|
| 6 |
+
|
| 7 |
+
The upstream model and the Video-ORA-9B modifications are distributed under
|
| 8 |
+
the Apache License, Version 2.0.
|
README.md
ADDED
|
@@ -0,0 +1,201 @@
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|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
pipeline_tag: image-text-to-text
|
| 5 |
+
base_model:
|
| 6 |
+
- Qwen/Qwen3.5-9B
|
| 7 |
+
tags:
|
| 8 |
+
- transformers
|
| 9 |
+
- vllm
|
| 10 |
+
- video
|
| 11 |
+
- multimodal
|
| 12 |
+
- reinforcement-learning
|
| 13 |
+
- temporal-grounding
|
| 14 |
+
- object-tracking
|
| 15 |
+
- video-segmentation
|
| 16 |
+
- visual-question-answering
|
| 17 |
+
- spatial-reasoning
|
| 18 |
+
- qwen3.5
|
| 19 |
+
---
|
| 20 |
+
|
| 21 |
+
# Video-ORA-9B
|
| 22 |
+
|
| 23 |
+
[Paper](https://arxiv.org/abs/2608.20492) ·
|
| 24 |
+
[Project page](https://orarl.github.io/) ·
|
| 25 |
+
[Code](https://github.com/HVision-NKU/OraRL) ·
|
| 26 |
+
[Evaluation data](https://huggingface.co/datasets/OraRL/OraRL-Eval)
|
| 27 |
+
|
| 28 |
+
Video-ORA-9B is the 9B model released with **Annotations as Rollouts:
|
| 29 |
+
Efficient and Scalable Reinforcement Learning for Video MLLMs**. It is
|
| 30 |
+
fine-tuned from [Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) with
|
| 31 |
+
OraRL across seven video and multimodal task families:
|
| 32 |
+
|
| 33 |
+
- temporal grounding
|
| 34 |
+
- visual tracking
|
| 35 |
+
- image and video segmentation
|
| 36 |
+
- spatial grounding
|
| 37 |
+
- spatial-temporal grounding
|
| 38 |
+
- video question answering
|
| 39 |
+
- spatial intelligence
|
| 40 |
+
|
| 41 |
+
The model is evaluated with direct, task-native answers rather than generated
|
| 42 |
+
chain-of-thought.
|
| 43 |
+
|
| 44 |
+
## Model summary
|
| 45 |
+
|
| 46 |
+
| Property | Value |
|
| 47 |
+
| --- | --- |
|
| 48 |
+
| Architecture | `Qwen3_5ForConditionalGeneration` |
|
| 49 |
+
| Parameters | 9B |
|
| 50 |
+
| Weight dtype | BF16 |
|
| 51 |
+
| Native context length | 262,144 tokens |
|
| 52 |
+
| Base model | [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) |
|
| 53 |
+
| Post-training | OraRL annotation-augmented on-policy reinforcement learning |
|
| 54 |
+
| Tested serving | Transformers 5.5.4 and vLLM 0.19.1 |
|
| 55 |
+
|
| 56 |
+
## Results
|
| 57 |
+
|
| 58 |
+
Representative family scores under the paper protocols:
|
| 59 |
+
|
| 60 |
+
| Task family | Metric | Score |
|
| 61 |
+
| --- | --- | ---: |
|
| 62 |
+
| Temporal grounding | mIoU | **66.0** |
|
| 63 |
+
| Spatial grounding | R@0.5 | **90.9** |
|
| 64 |
+
| Segmentation | cIoU / J&F aggregate | **70.4** |
|
| 65 |
+
| Visual tracking | AO | **78.2** |
|
| 66 |
+
| Spatial-temporal grounding | tIoU / sIoU aggregate | **35.0** |
|
| 67 |
+
| Video QA | Accuracy | **66.8** |
|
| 68 |
+
| Spatial intelligence | Accuracy | **56.1** |
|
| 69 |
+
| Seven-family macro average | Average score | **66.2** |
|
| 70 |
+
|
| 71 |
+
See the [project page](https://orarl.github.io/) and
|
| 72 |
+
[paper](https://arxiv.org/abs/2608.20492) for complete benchmark protocols,
|
| 73 |
+
baselines, dataset-level results, and aggregation details. Video-ORA-9B also
|
| 74 |
+
scores **73.1** overall on VSI-Bench.
|
| 75 |
+
|
| 76 |
+
## Quick start
|
| 77 |
+
|
| 78 |
+
### vLLM serving
|
| 79 |
+
|
| 80 |
+
```bash
|
| 81 |
+
pip install "vllm==0.19.1" openai
|
| 82 |
+
|
| 83 |
+
vllm serve OraRL/Video-ORA-9B \
|
| 84 |
+
--served-model-name Video-ORA-9B \
|
| 85 |
+
--port 8000 \
|
| 86 |
+
--tensor-parallel-size 1 \
|
| 87 |
+
--max-model-len 262144 \
|
| 88 |
+
--reasoning-parser qwen3 \
|
| 89 |
+
--media-io-kwargs '{"video": {"num_frames": -1}}' \
|
| 90 |
+
--limit-mm-per-prompt '{"image": 1, "video": 1}'
|
| 91 |
+
```
|
| 92 |
+
|
| 93 |
+
Reduce `--max-model-len` if KV-cache memory is limited. Increase
|
| 94 |
+
`--tensor-parallel-size` for multi-GPU serving. Model-weight loading occupies
|
| 95 |
+
approximately **17.6 GiB** in the tested BF16 vLLM environment; this is not a
|
| 96 |
+
full peak-memory measurement.
|
| 97 |
+
|
| 98 |
+
Send an OpenAI-compatible video request:
|
| 99 |
+
|
| 100 |
+
```python
|
| 101 |
+
from openai import OpenAI
|
| 102 |
+
|
| 103 |
+
client = OpenAI(base_url="http://localhost:8000/v1", api_key="EMPTY")
|
| 104 |
+
response = client.chat.completions.create(
|
| 105 |
+
model="Video-ORA-9B",
|
| 106 |
+
messages=[
|
| 107 |
+
{
|
| 108 |
+
"role": "user",
|
| 109 |
+
"content": [
|
| 110 |
+
{
|
| 111 |
+
"type": "video_url",
|
| 112 |
+
"video_url": {
|
| 113 |
+
"url": "https://orarl.github.io/assets/orarl-teaser.mp4"
|
| 114 |
+
},
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"type": "text",
|
| 118 |
+
"text": "Describe the video and answer the question directly.",
|
| 119 |
+
},
|
| 120 |
+
],
|
| 121 |
+
}
|
| 122 |
+
],
|
| 123 |
+
max_tokens=128,
|
| 124 |
+
temperature=0.0,
|
| 125 |
+
extra_body={
|
| 126 |
+
"top_k": 20,
|
| 127 |
+
"chat_template_kwargs": {"enable_thinking": False},
|
| 128 |
+
"mm_processor_kwargs": {"fps": 2, "do_sample_frames": True},
|
| 129 |
+
},
|
| 130 |
+
)
|
| 131 |
+
print(response.choices[0].message.content)
|
| 132 |
+
```
|
| 133 |
+
|
| 134 |
+
Replace the demo URL with your own accessible video URL. For local files,
|
| 135 |
+
launch vLLM with an appropriate `--allowed-local-media-path`.
|
| 136 |
+
|
| 137 |
+
### Transformers server
|
| 138 |
+
|
| 139 |
+
Qwen3.5 requires a recent Transformers version:
|
| 140 |
+
|
| 141 |
+
```bash
|
| 142 |
+
pip install "transformers[serving] @ git+https://github.com/huggingface/transformers.git@main"
|
| 143 |
+
pip install accelerate torchvision pillow
|
| 144 |
+
|
| 145 |
+
transformers serve \
|
| 146 |
+
--force-model OraRL/Video-ORA-9B \
|
| 147 |
+
--port 8000 \
|
| 148 |
+
--continuous-batching
|
| 149 |
+
```
|
| 150 |
+
|
| 151 |
+
The checkpoint also contains the tokenizer, processor configuration, generation
|
| 152 |
+
configuration, and chat template required by compatible Transformers and vLLM
|
| 153 |
+
releases. Task-specific prompts and output schemas are documented on the
|
| 154 |
+
[project page](https://orarl.github.io/).
|
| 155 |
+
|
| 156 |
+
## Intended use
|
| 157 |
+
|
| 158 |
+
Video-ORA-9B is intended for research on structured image/video perception,
|
| 159 |
+
benchmark evaluation, and task-specific adaptation. Use direct answer prompts
|
| 160 |
+
with `enable_thinking=False` to match the reported evaluation protocol.
|
| 161 |
+
|
| 162 |
+
Out-of-scope uses include safety-critical decisions, identity inference,
|
| 163 |
+
surveillance deployment, or use that violates the licenses or consent
|
| 164 |
+
requirements of upstream media.
|
| 165 |
+
|
| 166 |
+
## Training data
|
| 167 |
+
|
| 168 |
+
Training uses public training splits from the task families described in the
|
| 169 |
+
paper. Evaluation identities, questions, and media anchors are excluded during
|
| 170 |
+
mixture construction. Dataset and media licenses remain governed by their
|
| 171 |
+
original sources; no training or benchmark media are distributed with this
|
| 172 |
+
checkpoint.
|
| 173 |
+
|
| 174 |
+
## Limitations
|
| 175 |
+
|
| 176 |
+
Video-ORA-9B is a research checkpoint optimized for structured video and
|
| 177 |
+
spatial-understanding tasks. It may produce malformed task-specific outputs,
|
| 178 |
+
hallucinate visual details, or inherit limitations and biases from its base
|
| 179 |
+
model and training data. It has not been validated for safety-critical or
|
| 180 |
+
high-stakes use.
|
| 181 |
+
|
| 182 |
+
## License
|
| 183 |
+
|
| 184 |
+
The checkpoint is released under the Apache License 2.0. It is derived from
|
| 185 |
+
[Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B), which is also distributed
|
| 186 |
+
under Apache 2.0.
|
| 187 |
+
|
| 188 |
+
## Citation
|
| 189 |
+
|
| 190 |
+
```bibtex
|
| 191 |
+
@article{li2026orarl,
|
| 192 |
+
title = {Annotations as Rollouts: Efficient and Scalable
|
| 193 |
+
Reinforcement Learning for Video MLLMs},
|
| 194 |
+
author = {Li, Yunheng and Mu, Guohong and Li, Hao and
|
| 195 |
+
Qian, Shengsheng and Zhang, Dingwen and Hou, Qibin
|
| 196 |
+
and Cheng, Ming-Ming},
|
| 197 |
+
journal = {arXiv preprint arXiv:2608.20492},
|
| 198 |
+
year = {2026},
|
| 199 |
+
url = {https://arxiv.org/abs/2608.20492}
|
| 200 |
+
}
|
| 201 |
+
```
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 248056,
|
| 7 |
+
"model_type": "qwen3_5",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"attn_output_gate": true,
|
| 12 |
+
"bos_token_id": null,
|
| 13 |
+
"dtype": "bfloat16",
|
| 14 |
+
"eos_token_id": 248044,
|
| 15 |
+
"full_attention_interval": 4,
|
| 16 |
+
"head_dim": 256,
|
| 17 |
+
"hidden_act": "silu",
|
| 18 |
+
"hidden_size": 4096,
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"intermediate_size": 12288,
|
| 21 |
+
"layer_types": [
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"full_attention"
|
| 54 |
+
],
|
| 55 |
+
"linear_conv_kernel_dim": 4,
|
| 56 |
+
"linear_key_head_dim": 128,
|
| 57 |
+
"linear_num_key_heads": 16,
|
| 58 |
+
"linear_num_value_heads": 32,
|
| 59 |
+
"linear_value_head_dim": 128,
|
| 60 |
+
"mamba_ssm_dtype": "float32",
|
| 61 |
+
"max_position_embeddings": 262144,
|
| 62 |
+
"mlp_only_layers": [],
|
| 63 |
+
"model_type": "qwen3_5_text",
|
| 64 |
+
"mtp_num_hidden_layers": 0,
|
| 65 |
+
"mtp_use_dedicated_embeddings": false,
|
| 66 |
+
"num_attention_heads": 16,
|
| 67 |
+
"num_hidden_layers": 32,
|
| 68 |
+
"num_key_value_heads": 4,
|
| 69 |
+
"pad_token_id": null,
|
| 70 |
+
"partial_rotary_factor": 0.25,
|
| 71 |
+
"rms_norm_eps": 1e-06,
|
| 72 |
+
"rope_parameters": {
|
| 73 |
+
"mrope_interleaved": true,
|
| 74 |
+
"mrope_section": [
|
| 75 |
+
11,
|
| 76 |
+
11,
|
| 77 |
+
10
|
| 78 |
+
],
|
| 79 |
+
"partial_rotary_factor": 0.25,
|
| 80 |
+
"rope_theta": 10000000,
|
| 81 |
+
"rope_type": "default"
|
| 82 |
+
},
|
| 83 |
+
"tie_word_embeddings": false,
|
| 84 |
+
"use_cache": true,
|
| 85 |
+
"vocab_size": 248320
|
| 86 |
+
},
|
| 87 |
+
"tie_word_embeddings": false,
|
| 88 |
+
"transformers_version": "5.5.4",
|
| 89 |
+
"video_token_id": 248057,
|
| 90 |
+
"vision_config": {
|
| 91 |
+
"deepstack_visual_indexes": [],
|
| 92 |
+
"depth": 27,
|
| 93 |
+
"dtype": "bfloat16",
|
| 94 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 95 |
+
"hidden_size": 1152,
|
| 96 |
+
"in_channels": 3,
|
| 97 |
+
"initializer_range": 0.02,
|
| 98 |
+
"intermediate_size": 4304,
|
| 99 |
+
"model_type": "qwen3_5",
|
| 100 |
+
"num_heads": 16,
|
| 101 |
+
"num_position_embeddings": 2304,
|
| 102 |
+
"out_hidden_size": 4096,
|
| 103 |
+
"patch_size": 16,
|
| 104 |
+
"spatial_merge_size": 2,
|
| 105 |
+
"temporal_patch_size": 2
|
| 106 |
+
},
|
| 107 |
+
"vision_end_token_id": 248054,
|
| 108 |
+
"vision_start_token_id": 248053
|
| 109 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.5.4"
|
| 13 |
+
}
|
model-00001-of-00008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca0ee6b5aa23317d615c651baaed412ca151e01bc8a844444afd064d6dadffb4
|
| 3 |
+
size 2034237568
|
model-00002-of-00008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:23828268847a2b100270c3074ef44722f5ff1c78d02cad924455b87db1deb1f0
|
| 3 |
+
size 2471652544
|
model-00003-of-00008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40ba2391dd0e00e66286cbf2ae55ddbb463c333ec3f13d26fd1bfb7b04027204
|
| 3 |
+
size 2401595384
|
model-00004-of-00008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c65933088d1b7321a319d393c0f8d14dc036ee018d817010f858fe5d845d54e
|
| 3 |
+
size 2485499248
|
model-00005-of-00008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8cbe20b7d58769d598cf693d514122346836c580641b4a84af4fdba9389a4ff9
|
| 3 |
+
size 2469310952
|
model-00006-of-00008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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size 2476510824
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model-00007-of-00008.safetensors
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|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:78105a3a0093c6f56da6498385346bd12e04a232ecb44612d0ae3651069fd516
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| 3 |
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size 2477101480
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model-00008-of-00008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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size 2003813120
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model.safetensors.index.json
ADDED
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| 1 |
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{
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| 2 |
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"metadata": {
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| 3 |
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"total_size": 18819627488
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"weight_map": {
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| 767 |
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processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
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|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
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0.5,
|
| 10 |
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0.5
|
| 11 |
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],
|
| 12 |
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"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
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0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
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"merge_size": 2,
|
| 19 |
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"patch_size": 16,
|
| 20 |
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"resample": 3,
|
| 21 |
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"rescale_factor": 0.00392156862745098,
|
| 22 |
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"size": {
|
| 23 |
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|
| 24 |
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"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
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"max_frames": 768,
|
| 47 |
+
"merge_size": 2,
|
| 48 |
+
"min_frames": 4,
|
| 49 |
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"patch_size": 16,
|
| 50 |
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"resample": 3,
|
| 51 |
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"rescale_factor": 0.00392156862745098,
|
| 52 |
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"return_metadata": false,
|
| 53 |
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"size": {
|
| 54 |
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"longest_edge": 25165824,
|
| 55 |
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"shortest_edge": 4096
|
| 56 |
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},
|
| 57 |
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"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
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|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
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|
|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
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"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 25 |
+
"processor_class": "Qwen3VLProcessor",
|
| 26 |
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"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "TokenizersBackend",
|
| 28 |
+
"unk_token": null,
|
| 29 |
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"video_token": "<|video_pad|>",
|
| 30 |
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"vision_bos_token": "<|vision_start|>",
|
| 31 |
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"vision_eos_token": "<|vision_end|>"
|
| 32 |
+
}
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