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README.md

+# ReaderLM
+## 论文
+[ReaderLM](https://arxiv.org/pdf/2503.01151)
+
+## 模型简介
+ReaderLM-v2是一款拥有15亿参数的语言模型，能够将原始HTML转换为格式优美的Markdown或JSON，具备卓越的准确性和优化的长上下文处理能力。该模型支持多语言（共29种），专门适用于HTML解析、格式转换及文本提取等任务。  
+ReaderLM-v2 相较于前代模型实现显著突破，其核心改进包括：
+- 更优的Markdown生成能力：依托新型训练范式与更高质量的训练数据，该模型在生成代码块、嵌套列表、表格及LaTeX公式等复杂元素时表现卓越。  
+- JSON格式输出功能：支持基于预设架构的HTML直接转JSON，无需经过中间Markdown转换环节。  
+- 长上下文处理增强：支持输入输出总计512K token的处理长度，在长文本内容上性能表现显著提升。  
+- 多语言适配扩展：全面支持29种语言，拓展全球化应用场景。  
+- 生成稳定性强化：通过训练过程中的对比损失机制，有效缓解长序列生成后的退化问题。
+## 环境依赖
+
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 25.04.2 |
+| python | 3.10.12 |
+| transformers | >=4.57.1 |
+| vllm |  0.9.2+das.opt1.dtk25042 |
+| torch | 2.5.1+das.opt1.dtk25042 |
+| triton | 3.1+das.opt1.3c5d12d.dtk25041 |
+| flash_attn | 2.6.1+das.opt1.dtk2504 |
+| flash_mla | 1.0.0+das.opt1.dtk25042 |
+
+推荐使用镜像:image.sourcefind.cn:5000/dcu/admin/base/vllm:0.9.2-ubuntu22.04-dtk25.04.2-py3.10
+- 挂载地址`-v`根据实际模型情况修改
+
+```bash
+docker run -it --shm-size 60g --network=host --name ReaderLM --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_path/:/path/your_code_path/  image.sourcefind.cn:5000/dcu/admin/base/vllm:0.9.2-ubuntu22.04-dtk25.04.2-py3.10 bash
+```
+更多镜像可前往[光源](https://sourcefind.cn/#/service-list)下载使用。
+
+关于本项目DCU显卡所需的特殊深度学习库可从[光合](https://developer.sourcefind.cn/tool/)开发者社区下载安装。
+
+## 数据集
+暂无
+
+## 训练
+暂无
+
+## 推理
+
+### vllm
+#### 单机推理
+
+```bash
+## serve启动
+可参考vllm_serve.sh脚本
+vllm serve  jinaai/ReaderLM-v2   --trust-remote-code --dtype bfloat16 --max-seq-len-to-capture 32768 -tp 1 --max-model-len 32768
+## client访问
+可参考vllm_cilent.sh
+curl -X POST "http://localhost:8000/v1/chat/completions"      -H "Content-Type: application/json"     --data '{
+                "model": "jinaai/ReaderLM-v2",
+                "messages": [
+                        {
+                                "role": "user",
+                                "content": "请介绍下自己"
+                        }
+                ]
+        }'
+
+```
+
+## 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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| ReaderLM-v2 | 1.5B | K100AI | 1 | [下载地址](https://huggingface.co/jinaai/ReaderLM-v2) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/readerlm_vllm
+
+## 参考资料
+- https://jina.ai/news/readerlm-v2-frontier-small-language-model-for-html-to-markdown-and-json/
+- https://huggingface.co/jinaai/ReaderLM-v2

model.properties

+# 模型唯一标识
+modelCode=1914
+# 模型名称
+modelName=ReaderLM_vllm
+# 模型描述
+modelDescription=ReaderLM-v2是一款拥有15亿参数的语言模型，能够将原始HTML转换为格式优美的Markdown或JSON，具备卓越的准确性和优化的长上下文处理能力。该模型支持多语言（共29种），专门适用于HTML解析、格式转换及文本提取等任务。
+# 应用场景
+processType=推理
+# 算法类别
+appScenario=文本生成
+# 框架类型
+frameType=vllm
+# 加速卡类型
+accelerateType=K100AI

vllm_cilent.sh

+curl -X POST "http://localhost:8000/v1/chat/completions"      -H "Content-Type: application/json"     --data '{
+                "model": "jinaai/ReaderLM-v2",
+                "messages": [
+                        {
+                                "role": "user",
+                                "content": "请介绍下自己"
+                        }
+                ]
+        }'

vllm_serve.sh

+vllm serve  jinaai/ReaderLM-v2   --trust-remote-code --dtype bfloat16 --max-seq-len-to-capture 32768 -tp 1 --max-model-len 32768
\ No newline at end of file