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README.md

+# X‑Reasoner
+## 论文
+[X‑Reasoner](https://arxiv.org/pdf/2505.03981)
+
+## 模型简介
+X‑Reasoner是一种仅通过通用领域文本进行后训练的视觉语言模型，旨在实现泛化推理能力。该模型采用两阶段训练方法：首先使用提炼的长思维链进行监督微调，随后通过可验证奖励进行强化学习。实验表明，X‑Reasoner成功将推理能力迁移到多模态及领域外场景，在多种通用和医学基准测试中，表现优于使用领域内和多模态数据训练的现有最先进模型。
+<div align=center>
+    <img src="./doc/perf.jpg"/>
+</div>
+## 环境依赖
+
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 25.04.2 |
+| python | 3.10.12 |
+| transformers | >=4.57.1 |
+| vllm | 0.11.0+das.opt1.alpha.dtk25042.20251225.gca4598a4 |
+| torch | 2.5.1+das.opt1.dtk25042 |
+| triton | 3.1.0+das.opt1.dtk25042.20251224.gaa867475 |
+
+
+推荐使用镜像:harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk25.04.2-tx-1226-das1.7-py3.10-20251226
+- 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 X‑Reasoner --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/  harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk25.04.2-tx-1226-das1.7-py3.10-20251226 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 microsoft/X-Reasoner-7B --trust-remote-code --dtype bfloat16 -tp 1 --max-model-len 32768 --port 8010
+## client访问
+可参考vllm_cilent.sh
+curl -X POST "http://localhost:8010/v1/chat/completions"      -H "Content-Type: application/json"     --data '{
+                "model": "microsoft/X-Reasoner-7B",
+                "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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| X-Reasoner-7B | 7B | K100AI | 1 | [下载地址](https://huggingface.co/microsoft/X-Reasoner-7B) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/x-reasoner_vllm
+
+## 参考资料
+- https://github.com/microsoft/x-reasoner

model.properties

+# 模型唯一标识
+modelCode=2076
+# 模型名称
+modelName=X‑Reasoner_vllm
+# 模型描述
+modelDescription=X‑Reasoner是一种仅通过通用领域文本进行后训练的视觉语言模型，旨在实现泛化推理能力
+# 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:8010/v1/chat/completions"      -H "Content-Type: application/json"     --data '{
+                "model": "microsoft/X-Reasoner-7B",
+                "messages": [
+                        {
+                                "role": "user",
+                                "content": "请介绍下自己"
+                        }
+                ]
+        }'
\ No newline at end of file

vllm_serve.sh

+vllm serve microsoft/X-Reasoner-7B --trust-remote-code --dtype bfloat16 -tp 1 --max-model-len 32768 --port 8010
\ No newline at end of file