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README.md

+# BaichuanMed-OCR
+## 论文
+暂无
+
+## 模型简介
+
+BaichuanMed-OCR-72B是基于Qwen2.5-VL-72B-Instruct 基座模型，利用我们精心构建与策展的医疗报告数据集进行微调（fine-tuned）而成的专用模型。该数据集涵盖了医疗报告图像及其对应的问答对（QAs, Question-Answer pairs）。该模型经过专门的领域适配（domain adaptation），旨在对医疗报告图像执行高精度的光学字符识别（OCR），并基于提取的内容进行智能问答。  
+
+核心能力:  
+- 鲁棒的OCR识别能力（Robust OCR Capability）：能够精准识别医疗报告图像中复杂的文本内容，有效应对医疗文档中多样的排版、手写体及专业术语挑战。  
+
+- 结构化Markdown输出（Structured Markdown Output）：支持将提取的关键信息以标准的 Markdown 格式输出，便于后续的数据处理、渲染及结构化分析。  
+
+- 精准的理解与生成（Accurate Comprehension and Generation）：具备深度的语义理解能力，能够准确解析用户查询，并基于 OCR 提取的文本内容，生成逻辑严密、高度相关的回答，确保信息的准确性与一致性。
+
+## 环境依赖
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 26.04 |
+| python | 3.10.12 |
+| torch | 2.9.0+das.opt1.dtk2604.20260206.g275d08c2 |
+| transformers | 5.0.0.dev0 |
+| vllm | 0.15.1+das.opt1.alpha.dtk2604.20260220.g2799735a |
+
+推荐使用镜像: harbor.sourcefind.cn:5443/dcu/admin/base/custom:vllm0.15.1-ubuntu22.04-dtk26.04-0130-py3.10-20260220
+
+- 挂载地址`-v`根据实际模型情况修改
+
+```bash
+docker run -it \
+    --shm-size 200g \
+    --network=host \
+    --name BaichuanMed-OCR \
+    --privileged \
+    --device=/dev/kfd \
+    --device=/dev/dri \
+    --device=/dev/mkfd \
+    --group-add video \
+    --cap-add=SYS_PTRACE \
+    --security-opt seccomp=unconfined \
+    -u root \
+    -v /opt/hyhal/:/opt/hyhal/:ro \
+    -v /path/your_code_data/:/path/your_code_data/ \
+    harbor.sourcefind.cn:5443/dcu/admin/base/custom:vllm0.15.1-ubuntu22.04-dtk26.04-0130-py3.10-20260220 bash
+```
+
+更多镜像可前往[光源](https://sourcefind.cn/#/service-list)下载使用，其它包安装：
+```
+pip install pycountry
+```
+
+## 数据集
+`暂无`
+
+## 训练
+`暂无`
+
+## 推理
+### vllm
+#### 单机推理
+```bash
+## serve启动
+vllm serve baichuan-inc/BaichuanMed-OCR-72B --trust-remote-code --dtype bfloat16 -tp 4 --max-model-len 32768 --port 8010
+
+## client访问
+curl -X POST "http://localhost:8010/v1/chat/completions" \
+        -H "Content-Type: application/json" \
+        --data '{
+                "model": "baichuan-inc/BaichuanMed-OCR-72B",
+                "messages": [
+                        {
+                                "role": "user",
+                                "content": [
+                                        {
+                                                "type": "text",
+                                                "text": "Describe this image in one sentence."
+                                        },
+                                        {
+                                                "type": "image_url",
+                                                "image_url": {
+                                                        "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
+                                                }
+                                        }
+                                ]
+                        }
+                ]
+        }'
+
+
+```
+
+## 效果展示
+<div align=center>
+    <img src="./doc/result.png"/>
+</div>
+
+### 精度
+`DCU与GPU精度一致，推理框架：vllm。`
+
+## 预训练权重
+| 模型名称  | 权重大小  | DCU型号  | 最低卡数需求 |下载地址|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| BaichuanMed-OCR-72B | 72B | BW1000 | 4 | [Modelscope](https://www.modelscope.cn/models/baichuan-inc/BaichuanMed-OCR-72B) |
+| BaichuanMed-OCR-7B | 7B | BW1000 | 1 | [Modelscope](https://www.modelscope.cn/models/baichuan-inc/BaichuanMed-OCR-7B) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/baichuanmed-ocr_vllm
+
+## 参考资料
+- https://www.modelscope.cn/models/baichuan-inc/BaichuanMed-OCR-7B
+- https://www.modelscope.cn/models/baichuan-inc/BaichuanMed-OCR-72B
\ No newline at end of file

model.properties

+# 模型唯一标识
+modelCode=2201
+# 模型名称
+modelName=BaichuanMed-OCR_vllm
+# 模型描述
+modelDescription=BaichuanMed-OCR-72B是基于Qwen2.5-VL-72B-Instruct 基座模型，利用我们精心构建与策展的医疗报告数据集进行微调（fine-tuned）而成的专用模型。
+# 运行过程
+processType=推理
+# 算法类别
+appCategory=OCR
+# 框架类型
+frameType=vllm
+# 加速卡类型
+accelerateType=BW1000