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Model: Alibaba-DAMO-Academy/RynnBrain-Plan-8B Source: Original Platform
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106
README.md
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README.md
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---
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language:
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- en
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- zh
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library_name: transformers
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license: apache-2.0 # TODO: 如果不是 Apache-2.0 请改
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tags:
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- robotics
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- embodied-ai
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- egocentric
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- spatiotemporal
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- vision-language-model
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- video-understanding
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- grounding
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- planning
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- navigation
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- ocr
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- image-text-to-text
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- video-text-to-text
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- custom_code # 如果需要 trust_remote_code=True
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base_model: RynnBrain-8B
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pipeline_tag: image-text-to-text
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---
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66974212a9e7257fc37798dc/8eIGdvaZEuZKTcsjIAXXK.png" width="350" style="margin-bottom: 0.2;"/>
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<p
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<h2 align="center"><a href="https://github.com/alibaba-damo-academy/RynnBrain">RynnBrain: Open Embodied Foundation Models</a></h3>
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<h5 align="center"> If you like our project, please give us a star ⭐ on <a href="https://github.com/alibaba-damo-academy/RynnBrain">Github</a> for the latest update. </h5>
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---
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## 📰 News
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- **[2026.02.02]** Release **RynnBrain family** weights and inference code.
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- **[2026.02.02]** Add cookbooks for cognition, localization, reasoning, and planning.
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## ✨ Introduction
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RynnBrain aims to serve as a **physics-aware embodied brain**: it observes egocentric scenes, grounds language to physical space and time, and supports downstream robotic systems with reliable localization and planning outputs.
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### Key Highlights
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- **Comprehensive egocentric understanding**
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Strong spatial comprehension and egocentric cognition across embodied QA, counting, OCR, and fine-grained video understanding.
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- **Diverse spatiotemporal localization**
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Locates objects, target areas, and predicts trajectories across long episodic context, enabling global spatial awareness.
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- **Physical-space grounded reasoning (RynnBrain family)**
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The broader RynnBrain family includes “Thinking” variants that interleave textual reasoning with spatial grounding to anchor reasoning in reality.
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- **Physics-aware precise planning (RynnBrain family)**
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Integrates localized affordances/areas/objects into planning outputs to provide downstream VLA models with precise instructions.
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## 🌎 Model Zoo
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| Model | Base Model | Huggingface | Modelscope |
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| :--------------- | :------------------- | :---------: | :--------: |
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| RynnBrain-2B | Qwen3-VL-2B-Instruct | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-2B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-2B) |
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| RynnBrain-4B | Qwen3-VL-4B-Instruct | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-4B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-4B) |
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| RynnBrain-8B | Qwen3-VL-8B-Instruct | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-8B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-8B) |
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| RynnBrain-30B-A3B | Qwen3-VL-30B-A3B-Instruct | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-30B-A3B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-30B-A3B) |
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| RynnBrain‑CoP-8B | RynnBrain-8B | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-CoP-8B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-CoP-8B) |
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| RynnBrain‑Plan-8B (**This Checkpoint**)| RynnBrain-8B | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-Plan-8B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-Plan-8B) |
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| RynnBrain‑Plan-30B-A3B | RynnBrain-30B-A3B | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-Plan-30B-A3B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-Plan-30B-A3B) |
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| RynnBrain‑Nav-8B | RynnBrain-8B | [Link](https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-Nav-8B) | [Link](https://www.modelscope.cn/models/DAMO_Academy/RynnBrain-Nav-8B) |
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## 🚀 Main Results
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<img width="500" alt="image" src="https://github.com/alibaba-damo-academy/RynnBrain.github.io/blob/main/assets/plan_results.png?raw=true">
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## 🤖 Quick Start
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Minimal dependencies:
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```shell
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pip install transformers==4.57.1
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```
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Run text generation:
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```python
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from transformers import AutoModelForImageTextToText
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model = AutoModelForImageTextToText.from_pretrained("")
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...
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```
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## Cookbooks
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Checkout the [cookbooks](https://github.com/alibaba-damo-academy/RynnBrain/cookbooks) that showcase RynnBrain's capabilities in cognition, localization, reasoning, and planning.
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| Category | Cookbook name | Description |
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|----------------------|--------------------------------------------------------------------------------------------------|-------------|
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| Planning | [10_manipulate_planning.ipynb](./cookbooks/10_manipulate_planning.ipynb) | Performs multi-step task decomposition and action planning from goals and scenes. |
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## 📑 Citation
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If you find RynnBrain useful for your research and applications, please cite using this BibTeX:
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```bibtex
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@article{damo2026rynnbrain,
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title={RynnBrain: Open Embodied Foundation Models},
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author={Ronghao Dang, Jiayan Guo, Bohan Hou, Sicong Leng, Kehan Li, Xin Li, Jiangpin Liu, Yunxuan Mao, Zhikai Wang, Yuqian Yuan, Minghao Zhu, Xiao Lin, Yang Bai, Qian Jiang, Yaxi Zhao, Minghua Zeng, Junlong Gao, Yuming Jiang, Jun Cen, Siteng Huang, Liuyi Wang, Wenqiao Zhang, Chengju Liu, Jianfei Yang, Shijian Lu, Deli Zhao},
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journal={arXiv preprint arXiv:2602.14979v1},
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year={2026},
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url = {https://arxiv.org/abs/2602.14979v1}
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}
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```
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added_tokens.json
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{
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"</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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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set image_count = namespace(value=0) %}
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{%- set video_count = namespace(value=0) %}
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{%- for message in messages %}
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{%- if message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content in message.content %}
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{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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<|vision_start|><|image_pad|><|vision_end|>
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{%- elif content.type == 'video' or 'video' in content %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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<|vision_start|><|video_pad|><|vision_end|>
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{%- elif 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content_item in message.content %}
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{%- if 'text' in content_item %}
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{{- content_item.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and message.content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
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{{- '<|im_start|>user' }}
|
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{%- endif %}
|
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{{- '\n<tool_response>\n' }}
|
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{%- if message.content is string %}
|
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{{- message.content }}
|
||||
{%- else %}
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{%- for content in message.content %}
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{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
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{%- set image_count.value = image_count.value + 1 %}
|
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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<|vision_start|><|image_pad|><|vision_end|>
|
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{%- elif content.type == 'video' or 'video' in content %}
|
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{%- set video_count.value = video_count.value + 1 %}
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
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<|vision_start|><|video_pad|><|vision_end|>
|
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{%- elif 'text' in content %}
|
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{{- content.text }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '\n</tool_response>' }}
|
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
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config.json
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config.json
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{
|
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"architectures": [
|
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"Qwen3VLForConditionalGeneration"
|
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],
|
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"dtype": "bfloat16",
|
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"eos_token_id": 151645,
|
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"image_token_id": 151655,
|
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"model_type": "qwen3_vl",
|
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"pad_token_id": 151643,
|
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"text_config": {
|
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"attention_bias": false,
|
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"attention_dropout": 0.0,
|
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"bos_token_id": 151643,
|
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"dtype": "bfloat16",
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"eos_token_id": 151645,
|
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"head_dim": 128,
|
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"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
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"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"max_position_embeddings": 262144,
|
||||
"model_type": "qwen3_vl_text",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": {
|
||||
"mrope_interleaved": true,
|
||||
"mrope_section": [
|
||||
24,
|
||||
20,
|
||||
20
|
||||
],
|
||||
"rope_type": "default"
|
||||
},
|
||||
"rope_theta": 5000000,
|
||||
"use_cache": true,
|
||||
"vocab_size": 151936
|
||||
},
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.1",
|
||||
"video_token_id": 151656,
|
||||
"vision_config": {
|
||||
"deepstack_visual_indexes": [
|
||||
8,
|
||||
16,
|
||||
24
|
||||
],
|
||||
"depth": 27,
|
||||
"dtype": "bfloat16",
|
||||
"hidden_act": "gelu_pytorch_tanh",
|
||||
"hidden_size": 1152,
|
||||
"in_channels": 3,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 4304,
|
||||
"model_type": "qwen3_vl",
|
||||
"num_heads": 16,
|
||||
"num_position_embeddings": 2304,
|
||||
"out_hidden_size": 4096,
|
||||
"patch_size": 16,
|
||||
"spatial_merge_size": 2,
|
||||
"temporal_patch_size": 2
|
||||
},
|
||||
"vision_end_token_id": 151653,
|
||||
"vision_start_token_id": 151652
|
||||
}
|
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generation_config.json
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generation_config.json
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||||
{
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.7,
|
||||
"top_k": 20,
|
||||
"top_p": 0.8,
|
||||
"transformers_version": "4.57.1"
|
||||
}
|
||||
151388
merges.txt
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|
||||
"model.visual.deepstack_merger_list.1.norm.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.deepstack_merger_list.1.norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.deepstack_merger_list.2.linear_fc1.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.deepstack_merger_list.2.linear_fc1.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.deepstack_merger_list.2.linear_fc2.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.deepstack_merger_list.2.linear_fc2.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.deepstack_merger_list.2.norm.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.deepstack_merger_list.2.norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.merger.linear_fc1.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.merger.linear_fc1.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.merger.linear_fc2.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.merger.linear_fc2.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.merger.norm.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.merger.norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.patch_embed.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.visual.pos_embed.weight": "model-00001-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
39
preprocessor_config.json
Normal file
39
preprocessor_config.json
Normal file
@@ -0,0 +1,39 @@
|
||||
{
|
||||
"crop_size": null,
|
||||
"data_format": "channels_first",
|
||||
"default_to_square": true,
|
||||
"device": null,
|
||||
"disable_grouping": null,
|
||||
"do_center_crop": null,
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_pad": null,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"image_mean": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"image_processor_type": "Qwen2VLImageProcessorFast",
|
||||
"image_std": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"input_data_format": null,
|
||||
"max_pixels": null,
|
||||
"merge_size": 2,
|
||||
"min_pixels": null,
|
||||
"pad_size": null,
|
||||
"patch_size": 16,
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"return_tensors": null,
|
||||
"size": {
|
||||
"longest_edge": 16777216,
|
||||
"shortest_edge": 65536
|
||||
},
|
||||
"temporal_patch_size": 2
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 262144,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
41
video_preprocessor_config.json
Normal file
41
video_preprocessor_config.json
Normal file
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"crop_size": null,
|
||||
"data_format": "channels_first",
|
||||
"default_to_square": true,
|
||||
"device": null,
|
||||
"do_center_crop": null,
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"do_sample_frames": true,
|
||||
"fps": 2,
|
||||
"image_mean": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"image_std": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"input_data_format": null,
|
||||
"max_frames": 768,
|
||||
"merge_size": 2,
|
||||
"min_frames": 4,
|
||||
"num_frames": null,
|
||||
"pad_size": null,
|
||||
"patch_size": 16,
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"return_metadata": false,
|
||||
"size": {
|
||||
"longest_edge": 25165824,
|
||||
"shortest_edge": 4096
|
||||
},
|
||||
"temporal_patch_size": 2,
|
||||
"video_metadata": null,
|
||||
"video_processor_type": "Qwen3VLVideoProcessor"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user