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Model: CYX1998/Meissa-4B Source: Original Platform
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-VL-4B-Instruct
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library_name: transformers
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pipeline_tag: image-text-to-text
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language:
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- en
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tags:
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- medical
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- agent
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- tool-calling
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- multi-agent
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- multimodal
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- qwen3-vl
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---
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# Meissa-4B: Multi-modal Medical Agentic Intelligence
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<p align="center">
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<a href="https://arxiv.org/abs/2603.09018"><img src="https://img.shields.io/badge/arXiv-2603.09018-b31b1b.svg" alt="arXiv"></a>
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<a href="https://huggingface.co/datasets/CYX1998/Meissa-SFT"><img src="https://img.shields.io/badge/HuggingFace-Meissa--SFT-blue" alt="Dataset"></a>
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<a href="https://github.com/Schuture/Meissa"><img src="https://img.shields.io/badge/GitHub-Meissa-black" alt="GitHub"></a>
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</p>
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**Meissa-4B** is a lightweight 4B-parameter medical multi-modal LLM with full agentic capability. Instead of relying on proprietary frontier models (GPT, Gemini), Meissa brings tool calling, multi-agent collaboration, and clinical simulation **offline** by distilling structured trajectories from frontier agent systems into a compact vision-language model.
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## Key Features
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- **4 agentic paradigms** in a single model: continuous tool calling, interleaved thinking with images, multi-agent collaboration, and multi-turn clinical simulation
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- **Offline deployment**: runs entirely locally with vLLM, no API calls needed
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- **Tool calling**: native `<tool_call>` support via Hermes format, compatible with vLLM's tool-call parser
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- **Thinking**: built-in `<think>` chain-of-thought reasoning before actions
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## Model Details
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| | |
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|---|---|
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| **Base model** | [Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) |
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| **Architecture** | Qwen3VLForConditionalGeneration |
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| **Parameters** | 4B |
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| **Precision** | bfloat16 |
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| **Training method** | LoRA SFT (rank=32, alpha=64), merged |
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| **Training data** | 43,210 medical agentic trajectories ([open subset](https://huggingface.co/datasets/CYX1998/Meissa-SFT)) |
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| **Training framework** | [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) |
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| **Context length** | 8,192 tokens (training) |
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| **Tested environment** | transformers 4.57.0, vLLM 0.11.0 |
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## Quickstart
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### Load with Transformers
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```python
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from transformers import AutoModelForImageTextToText, AutoProcessor
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import torch
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model = AutoModelForImageTextToText.from_pretrained(
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"CYX1998/Meissa-4B",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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processor = AutoProcessor.from_pretrained("CYX1998/Meissa-4B")
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```
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### Serve with vLLM (Recommended)
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For agentic use cases, serve Meissa with vLLM to enable tool calling:
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```bash
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python -m vllm.entrypoints.openai.api_server \
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--model CYX1998/Meissa-4B \
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--port 8877 \
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--max-model-len 8192 \
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--gpu-memory-utilization 0.85 \
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--dtype bfloat16 \
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--enable-auto-tool-choice \
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--tool-call-parser hermes
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# Set the endpoint
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export OPENAI_BASE_URL="http://127.0.0.1:8877/v1"
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export OPENAI_API_KEY="dummy"
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```
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The `--enable-auto-tool-choice --tool-call-parser hermes` flags are **required** for tool calling.
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### Example: Tool Calling
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```python
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from openai import OpenAI
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client = OpenAI(base_url="http://127.0.0.1:8877/v1", api_key="dummy")
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tools = [{
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"type": "function",
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"function": {
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"name": "ChestXRayClassifier",
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"description": "Classify pathologies in a chest X-ray image.",
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"parameters": {
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"type": "object",
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"properties": {
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"image_path": {"type": "string", "description": "Path to the chest X-ray image"}
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},
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"required": ["image_path"]
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}
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}
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}]
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response = client.chat.completions.create(
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model="CYX1998/Meissa-4B",
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messages=[{"role": "user", "content": "Analyze this chest X-ray: /path/to/cxr.jpg"}],
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tools=tools,
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)
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print(response.choices[0].message)
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```
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## Supported Agentic Frameworks
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| Framework | Description | Tools |
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|-----------|-------------|-------|
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| **I: Continuous Tool Calling** | Sequential tool use for radiology analysis | 8 chest X-ray tools (classifier, report generator, VQA, segmentation, etc.) |
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| **II: Interleaved Thinking with Images** | Iterative visual reasoning with zoom | ZoomInSubfigure, SegmentRegion, Terminate |
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| **III: Multi-Agent Collaboration** | Multi-agent medical consultation | AssessDifficulty, RecruitExperts, ConsultExperts, FacilitateDebate |
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| **IV: Clinical Simulation** | Multi-turn doctor-patient interaction | RequestPhysicalExam, RequestTest, Terminate |
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## Training Data
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Trained on 43,210 medical agentic SFT trajectories distilled from Gemini:
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| Framework | Samples | Source Datasets |
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|-----------|---------|----------------|
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| I: Continuous Tool Calling | 4,898 | MIMIC-CXR-VQA |
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| II: Interleaved Thinking | 15,211 | PathVQA, MIMIC-CXR-VQA, SLAKE, VQA-RAD |
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| III: Multi-Agent Collaboration | 15,427 | MIMIC-CXR-VQA, PathVQA, MedQA, PubMedQA |
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| IV: Clinical Simulation | 7,674 | MedQA, MIMIC-CXR |
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The open-source subset (25,018 samples) is available at [CYX1998/Meissa-SFT](https://huggingface.co/datasets/CYX1998/Meissa-SFT).
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## Evaluation
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Meissa-4B matches or exceeds GPT-4o and Gemini-3-flash on multiple medical agentic benchmarks while being deployable offline on a single GPU. See [our paper](https://arxiv.org/abs/2603.09018) for full results.
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## Limitations
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- **Not for clinical use**: This model is a research prototype and should NOT be used for real clinical decision-making.
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- **English only**: Trained and evaluated on English medical data only.
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- **Domain scope**: Primarily trained on radiology, pathology, and general clinical reasoning. Performance on other medical specialties may vary.
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- **Hallucination**: Like all LLMs, Meissa may generate plausible but incorrect medical information.
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## Citation
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```bibtex
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@inproceedings{chen2026meissa,
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title={Meissa: Multi-modal Medical Agentic Intelligence},
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author={Chen, Yixiong and Bai, Xinyi and Pan, Yue and Zhou, Zongwei and Yuille, Alan},
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journal={arXiv preprint arXiv:2603.09018},
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year={2026}
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}
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```
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## License
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This model is released under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0). The base model [Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) is subject to the [Qwen License](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct/blob/main/LICENSE).
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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 }}
|
||||
{%- 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 %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
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{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
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{%- else %}
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{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
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||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
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{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
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{{- '\n<tool_response>\n' }}
|
||||
{%- 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 -%}
|
||||
<|vision_start|><|image_pad|><|vision_end|>
|
||||
{%- elif content.type == 'video' or 'video' in content %}
|
||||
{%- set video_count.value = video_count.value + 1 %}
|
||||
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
||||
<|vision_start|><|video_pad|><|vision_end|>
|
||||
{%- elif 'text' in content %}
|
||||
{{- content.text }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- 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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65
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": {
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 9728,
|
||||
"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,
|
||||
"tie_word_embeddings": true,
|
||||
"use_cache": true,
|
||||
"vocab_size": 151936
|
||||
},
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "4.57.3",
|
||||
"video_token_id": 151656,
|
||||
"vision_config": {
|
||||
"deepstack_visual_indexes": [
|
||||
5,
|
||||
11,
|
||||
17
|
||||
],
|
||||
"depth": 24,
|
||||
"dtype": "bfloat16",
|
||||
"hidden_act": "gelu_pytorch_tanh",
|
||||
"hidden_size": 1024,
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39
preprocessor_config.json
Normal file
39
preprocessor_config.json
Normal file
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|
||||
"model.visual.merger.norm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.visual.patch_embed.proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.visual.patch_embed.proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.visual.pos_embed.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.language_model.embed_tokens.weight": "pytorch_model-00001-of-00002.bin"
|
||||
}
|
||||
}
|
||||
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|>",
|
||||
"padding_side": "right",
|
||||
"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