初始化项目，由ModelHub XC社区提供模型

Model: CYX1998/Meissa-4B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-VL-4B-Instruct
+library_name: transformers
+pipeline_tag: image-text-to-text
+language:
+  - en
+tags:
+  - medical
+  - agent
+  - tool-calling
+  - multi-agent
+  - multimodal
+  - qwen3-vl
+---
+
+# Meissa-4B: Multi-modal Medical Agentic Intelligence
+
+<p align="center">
+  <a href="https://arxiv.org/abs/2603.09018"><img src="https://img.shields.io/badge/arXiv-2603.09018-b31b1b.svg" alt="arXiv"></a>
+  <a href="https://huggingface.co/datasets/CYX1998/Meissa-SFT"><img src="https://img.shields.io/badge/HuggingFace-Meissa--SFT-blue" alt="Dataset"></a>
+  <a href="https://github.com/Schuture/Meissa"><img src="https://img.shields.io/badge/GitHub-Meissa-black" alt="GitHub"></a>
+</p>
+
+**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.
+
+## Key Features
+
+- **4 agentic paradigms** in a single model: continuous tool calling, interleaved thinking with images, multi-agent collaboration, and multi-turn clinical simulation
+- **Offline deployment**: runs entirely locally with vLLM, no API calls needed
+- **Tool calling**: native `<tool_call>` support via Hermes format, compatible with vLLM's tool-call parser
+- **Thinking**: built-in `<think>` chain-of-thought reasoning before actions
+
+## Model Details
+
+| | |
+|---|---|
+| **Base model** | [Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) |
+| **Architecture** | Qwen3VLForConditionalGeneration |
+| **Parameters** | 4B |
+| **Precision** | bfloat16 |
+| **Training method** | LoRA SFT (rank=32, alpha=64), merged |
+| **Training data** | 43,210 medical agentic trajectories ([open subset](https://huggingface.co/datasets/CYX1998/Meissa-SFT)) |
+| **Training framework** | [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) |
+| **Context length** | 8,192 tokens (training) |
+| **Tested environment** | transformers 4.57.0, vLLM 0.11.0 |
+
+## Quickstart
+
+### Load with Transformers
+
+```python
+from transformers import AutoModelForImageTextToText, AutoProcessor
+import torch
+
+model = AutoModelForImageTextToText.from_pretrained(
+    "CYX1998/Meissa-4B",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+processor = AutoProcessor.from_pretrained("CYX1998/Meissa-4B")
+```
+
+### Serve with vLLM (Recommended)
+
+For agentic use cases, serve Meissa with vLLM to enable tool calling:
+
+```bash
+python -m vllm.entrypoints.openai.api_server \
+    --model CYX1998/Meissa-4B \
+    --port 8877 \
+    --max-model-len 8192 \
+    --gpu-memory-utilization 0.85 \
+    --dtype bfloat16 \
+    --enable-auto-tool-choice \
+    --tool-call-parser hermes
+
+# Set the endpoint
+export OPENAI_BASE_URL="http://127.0.0.1:8877/v1"
+export OPENAI_API_KEY="dummy"
+```
+
+The `--enable-auto-tool-choice --tool-call-parser hermes` flags are **required** for tool calling.
+
+### Example: Tool Calling
+
+```python
+from openai import OpenAI
+
+client = OpenAI(base_url="http://127.0.0.1:8877/v1", api_key="dummy")
+
+tools = [{
+    "type": "function",
+    "function": {
+        "name": "ChestXRayClassifier",
+        "description": "Classify pathologies in a chest X-ray image.",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "image_path": {"type": "string", "description": "Path to the chest X-ray image"}
+            },
+            "required": ["image_path"]
+        }
+    }
+}]
+
+response = client.chat.completions.create(
+    model="CYX1998/Meissa-4B",
+    messages=[{"role": "user", "content": "Analyze this chest X-ray: /path/to/cxr.jpg"}],
+    tools=tools,
+)
+print(response.choices[0].message)
+```
+
+## Supported Agentic Frameworks
+
+| Framework | Description | Tools |
+|-----------|-------------|-------|
+| **I: Continuous Tool Calling** | Sequential tool use for radiology analysis | 8 chest X-ray tools (classifier, report generator, VQA, segmentation, etc.) |
+| **II: Interleaved Thinking with Images** | Iterative visual reasoning with zoom | ZoomInSubfigure, SegmentRegion, Terminate |
+| **III: Multi-Agent Collaboration** | Multi-agent medical consultation | AssessDifficulty, RecruitExperts, ConsultExperts, FacilitateDebate |
+| **IV: Clinical Simulation** | Multi-turn doctor-patient interaction | RequestPhysicalExam, RequestTest, Terminate |
+
+## Training Data
+
+Trained on 43,210 medical agentic SFT trajectories distilled from Gemini:
+
+| Framework | Samples | Source Datasets |
+|-----------|---------|----------------|
+| I: Continuous Tool Calling | 4,898 | MIMIC-CXR-VQA |
+| II: Interleaved Thinking | 15,211 | PathVQA, MIMIC-CXR-VQA, SLAKE, VQA-RAD |
+| III: Multi-Agent Collaboration | 15,427 | MIMIC-CXR-VQA, PathVQA, MedQA, PubMedQA |
+| IV: Clinical Simulation | 7,674 | MedQA, MIMIC-CXR |
+
+The open-source subset (25,018 samples) is available at [CYX1998/Meissa-SFT](https://huggingface.co/datasets/CYX1998/Meissa-SFT).
+
+## Evaluation
+
+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.
+
+## Limitations
+
+- **Not for clinical use**: This model is a research prototype and should NOT be used for real clinical decision-making.
+- **English only**: Trained and evaluated on English medical data only.
+- **Domain scope**: Primarily trained on radiology, pathology, and general clinical reasoning. Performance on other medical specialties may vary.
+- **Hallucination**: Like all LLMs, Meissa may generate plausible but incorrect medical information.
+
+## Citation
+
+```bibtex
+@inproceedings{chen2026meissa,
+  title={Meissa: Multi-modal Medical Agentic Intelligence},
+  author={Chen, Yixiong and Bai, Xinyi and Pan, Yue and Zhou, Zongwei and Yuille, Alan},
+  journal={arXiv preprint arXiv:2603.09018},
+  year={2026}
+}
+```
+
+## License
+
+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).

added_tokens.json

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+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {%- if messages[0].content is string %}
+            {{- messages[0].content }}
+        {%- else %}
+            {%- for content in messages[0].content %}
+                {%- if 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' }}
+        {%- if messages[0].content is string %}
+            {{- messages[0].content }}
+        {%- else %}
+            {%- for content in messages[0].content %}
+                {%- if 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- for message in messages %}
+    {%- if message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\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 %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content_item in message.content %}
+                {%- if 'text' in content_item %}
+                    {{- content_item.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and message.content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\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 %}

config.json

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+{
+  "architectures": [
+    "Qwen3VLForConditionalGeneration"
+  ],
+  "dtype": "bfloat16",
+  "image_token_id": 151655,
+  "model_type": "qwen3_vl",
+  "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,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "model_type": "qwen3_vl",
+    "num_heads": 16,
+    "num_position_embeddings": 2304,
+    "out_hidden_size": 2560,
+    "patch_size": 16,
+    "spatial_merge_size": 2,
+    "temporal_patch_size": 2
+  },
+  "vision_end_token_id": 151653,
+  "vision_start_token_id": 151652
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.57.3"
+}

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+      "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
+}

video_preprocessor_config.json

@@ -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"
+}