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Model: ParaVT/ParaVT-8B Source: Original Platform
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---
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base_model:
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- Qwen/Qwen3-VL-8B-Instruct
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datasets:
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- ParaVT/ParaVT-Parquet
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- ParaVT/ParaVT-Source
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license: apache-2.0
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library_name: transformers
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pipeline_tag: video-text-to-text
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language:
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- en
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tags:
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- video
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- long-video
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- reasoning
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- tool-calling
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- agentic-rl
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- grpo
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- multimodal
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---
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# ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning
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<div align="center">
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[](https://arxiv.org/abs/2605.20342)
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[](https://evolvinglmms-lab.github.io/ParaVT/)
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[](https://github.com/EvolvingLMMs-Lab/ParaVT)
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[](https://huggingface.co/datasets/ParaVT/ParaVT-Parquet)
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[](https://huggingface.co/datasets/ParaVT/ParaVT-Source)
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[](https://huggingface.co/papers/2605.20342)
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</div>
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## Overview
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Training large multimodal models (LMMs) via reinforcement learning to natively invoke video-processing tools (such as temporal cropping) has become a promising route to long-video understanding. Existing native-RL methods, however, dispatch tool calls sequentially (one per turn): a single wrong crop propagates errors without peer correction, multi-turn calls corrupt context, and inference cost scales linearly with the number of turns.
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**ParaVT** is the first multi-agent end-to-end RL-trained framework for **Para**llel **V**ideo **T**ool calling: it dispatches multiple time-window crops in a single turn for cleaner context and better fault tolerance. Applying standard RL to ParaVT surfaces an obstacle we term the *Tool Prior Paradox*, where the pretrained tool priors that enable tool exploration also destabilize cold-started structural format and expose a skip-tool reward shortcut under temperature sampling. We address this with **PARA-GRPO** (Parseability-Anchored and Ratio-gAted GRPO): a targeted format reward applied only at the structural-token positions most prone to collapse, and a per-prompt frame-budget randomization that creates training prompts where calling the tool yields a measurable reward signal over skipping it.
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## Model Card
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This repository hosts the final post-RL checkpoint (`ParaVT-8B`), obtained by running PARA-GRPO on top of the cold-start SFT checkpoint [`mwxely/ParaVT-8B-SFT`](https://huggingface.co/mwxely/ParaVT-8B-SFT). The base architecture is `Qwen3VLForConditionalGeneration`, identical to [`Qwen/Qwen3-VL-8B-Instruct`](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct); only the language-model weights are updated.
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| Field | Value |
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|---|---|
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| Architecture | `Qwen3VLForConditionalGeneration` |
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| Parameters | 8 B |
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| Base model | `Qwen/Qwen3-VL-8B-Instruct` |
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| Training stages | Cold-start SFT (500 steps) → PARA-GRPO RL (54 steps) |
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| Training data | [`ParaVT/ParaVT-Parquet`](https://huggingface.co/datasets/ParaVT/ParaVT-Parquet) (`sft` + `rl` configs) |
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| Source videos | [`ParaVT/ParaVT-Source`](https://huggingface.co/datasets/ParaVT/ParaVT-Source) |
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| Native tool | Temporal cropping (start time, end time, optional sub-frame count) |
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## Usage
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`ParaVT-8B` is a drop-in `transformers` / `vllm` model for video-text-to-text. The full evaluation driver, prompt templates, and reproduction scripts live in the [ParaVT GitHub repository](https://github.com/EvolvingLMMs-Lab/ParaVT); please refer to it for the exact environment that produced the reported numbers.
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```bash
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# Reproduce the headline numbers (after installing the eval venv)
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git clone https://github.com/EvolvingLMMs-Lab/ParaVT.git && cd ParaVT
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cp .secrets.env.example .secrets.env && $EDITOR .secrets.env
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bash scripts/setup_env.sh eval
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PARAVT_EVAL_MODEL=ParaVT/ParaVT-8B \
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bash paravt/eval/scripts/reproduce_paravt_8b.sh
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```
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For inference outside the eval driver, treat the model exactly like `Qwen/Qwen3-VL-8B-Instruct`: vLLM `--model ParaVT/ParaVT-8B`, the same tokenizer, the same chat template. The agentic system prompt and the tool schema used during PARA-GRPO are documented in [`paravt/eval/configs/withtool.yaml`](https://github.com/EvolvingLMMs-Lab/ParaVT/blob/main/paravt/eval/configs/withtool.yaml) and [`paravt/eval/utils.py`](https://github.com/EvolvingLMMs-Lab/ParaVT/blob/main/paravt/eval/utils.py).
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## Citation
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If you find ParaVT useful for your research and applications, please cite:
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```bibtex
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@article{yang2026paravt,
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title={ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning},
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author={Yang, Zuhao and Zhang, Kaichen and Wang, Sudong and Wu, Keming and Yang, Zhongyu and Li, Bo and Qi, Xiaojuan and Lu, Shijian and Li, Xingxuan and Bing, Lidong},
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journal={arXiv preprint arXiv:2605.20342},
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year={2026}
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}
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```
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## Acknowledgements
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ParaVT builds on the [LongVT](https://github.com/EvolvingLMMs-Lab/LongVT) (CVPR 2026) framework for native video tool calling, the [`lmms-engine`](https://github.com/EvolvingLMMs-Lab/lmms-engine) cold-start SFT infrastructure, the [`AReaL`](https://github.com/inclusionAI/AReaL) RL training stack, and the [`lmms-eval`](https://github.com/EvolvingLMMs-Lab/lmms-eval) evaluation harness. We thank the maintainers of all of the above.
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28
added_tokens.json
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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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"<|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" %}
|
||||
{%- 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 %}
|
||||
{{- message.content }}
|
||||
{%- else %}
|
||||
{%- for content in message.content %}
|
||||
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
||||
{%- set image_count.value = image_count.value + 1 %}
|
||||
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
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<|vision_start|><|image_pad|><|vision_end|>
|
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{%- elif content.type == 'video' or 'video' in content %}
|
||||
{%- 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 %}
|
||||
{{- 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 %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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64
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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"image_token_id": 151655,
|
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"model_type": "qwen3_vl",
|
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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,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"max_position_embeddings": 262144,
|
||||
"model_type": "qwen3_vl_text",
|
||||
"num_attention_heads": 32,
|
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"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": {
|
||||
"mrope_interleaved": true,
|
||||
"mrope_section": [
|
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24,
|
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20,
|
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20
|
||||
],
|
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"rope_type": "default"
|
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},
|
||||
"rope_theta": 5000000,
|
||||
"use_cache": true,
|
||||
"vocab_size": 151936
|
||||
},
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.1",
|
||||
"video_token_id": 151656,
|
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"vision_config": {
|
||||
"deepstack_visual_indexes": [
|
||||
8,
|
||||
16,
|
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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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}
|
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generation_config.json
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generation_config.json
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{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"transformers_version": "4.57.1"
|
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}
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merges.txt
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"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.
241
tokenizer_config.json
Normal file
241
tokenizer_config.json
Normal file
@@ -0,0 +1,241 @@
|
||||
{
|
||||
"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,
|
||||
"use_fast": true
|
||||
}
|
||||
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