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README.md

+# Foundation-Sec-8B-Reasoning
+## 论文
+[Foundation-Sec-8B-Reasoning](https://arxiv.org/abs/2601.21051)
+
+## 模型简介
+Foundation-Sec-8B-Reasoning是一款开源的80亿参数指令微调语言模型，专门为网络安全应用而设计。该模型在Foundation-Sec-8B基础模型的基础上扩展了指令遵循和推理能力，利用先前训练中所学的网络安全概念、术语和实践知识，覆盖多个安全领域。通过进一步的推理训练，该模型能够在呈现解决方案之前对问题进行推理分析。在6项通用基准测试中的模型性能对比如下：
+<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 Foundation-Sec-8B-Reasoning --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 fdtn-ai/Foundation-Sec-8B-Reasoning   --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": "fdtn-ai/Foundation-Sec-8B-Reasoning",
+                "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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| Foundation-Sec-8B-Reasoning | 8B | K100AI | 1 | [下载地址](https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Reasoning) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/foundation-sec-8b-reasoning_vllm
+
+## 参考资料
+- https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Reasoning

model.properties

+# 模型唯一标识
+modelCode=2061
+# 模型名称
+modelName=Foundation-Sec-8B-Reasoning_vllm
+# 模型描述
+modelDescription=Foundation-Sec-8B-Reasoning是一款开源的80亿参数指令微调语言模型，专门为网络安全应用而设计
+# 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": "fdtn-ai/Foundation-Sec-8B-Reasoning",
+                "messages": [
+                        {
+                                "role": "user",
+                                "content": "请介绍下自己"
+                        }
+                ]
+        }'
+

vllm_serve.sh

+vllm serve fdtn-ai/Foundation-Sec-8B-Reasoning   --trust-remote-code --dtype bfloat16 -tp 1 --max-model-len 32768 --port 8010
\ No newline at end of file