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README.md

-# Qwen3.6_vllm
+# Qwen3.6
+## 论文
+[Qwen3.6](https://qwen.ai/blog?id=qwen3.6)
 
+## 模型简介
+
+Qwen3.6-35B-A3B 是一款采用混合专家 (MoE) 架构并包含视觉编码器的多模态因果语言模型。总参数量为 35B，推理时激活参数量为 3B。此版本重点优化了智能体编程 (Agentic Coding) 的准确率，并引入了思维保留 (Thinking Preservation) 机制，特别适合长上下文和复杂的代码仓库开发任务。
+
+<div align=center>
+    <img src="./doc/1.png"/>
+</div>
+
+## 环境依赖
+| 软件 |                    版本                     |
+| :------: |:-----------------------------------------:|
+| DTK |                   26.04                   |
+| python |                  3.10.12                  |
+| transformers |            5.2.0               |
+| vllm |      0.15.1+das.opt1.alpha.dtk2604.torch290.2604081832.gbcb2ba     |
+| triton |      3.3.0+das.opt2.dtk2604.torch290.20260331.g31542e      |
+| torch |   2.9.0+das.opt1.dtk2604.20260331.g4e3c1e7   |
+
+当前推荐使用镜像: harbor.sourcefind.cn:5443/dcu/admin/base/custom:vllm015-ubuntu22.04-dtk26.04-0409-modelzoo
+
+- 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 qwen3.6 \
+    --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:vllm015-ubuntu22.04-dtk26.04-0409-modelzoo 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
+vllm serve Qwen/Qwen3.6-35B-A3B \
+    --port 8001 \
+    --trust-remote-code \
+    --dtype bfloat16 \
+    --tensor-parallel-size 4 \
+    --gpu-memory-utilization 0.925 
+
+## client访问
+curl -X POST "http://localhost:8001/v1/chat/completions"   -H "Content-Type: application/json"   -d '{
+    "model": "Qwen/Qwen3.6-35B-A3B",
+    "messages": [
+      {"role": "system", "content": "你是一个有用的助手。"},
+      {"role": "user", "content": "你好，请做一下简单的自我介绍。"}
+    ],
+    "stream": false
+  }'
+```
+
+## 效果展示
+<div align=center>
+    <img src="./doc/2.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          |
+|:------:|:----:|:----------:|:------:|:---------------------:|
+| Qwen3.6-35B-A3B | 35 | BW1000 |   4   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) |
+| Qwen3.6-35B-A3B-FP8 | 35B | BW1000 |   2   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.6-35B-A3B-FP8) |
+
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/qwen3.6_vllm
+
+## 参考资料
+- https://github.com/QwenLM/Qwen3.6

model.properties

+# 模型唯一标识
+modelCode=2381
+# 模型名称
+modelName=qwen3.6_vllm
+# 模型描述
+modelDescription=Qwen3.6-35B-A3B 是一款采用混合专家 (MoE) 架构并包含视觉编码器的多模态因果语言模型。总参数量为 35B，推理时激活参数量为 3B。此版本重点优化了智能体编程 (Agentic Coding) 的准确率，并引入了思维保留 (Thinking Preservation) 机制，特别适合长上下文和复杂的代码仓库开发任务。
+# 运行过程
+processType=推理
+# 算法类别
+appCategory=对话问答
+# 框架类型
+frameType=vllm
+# 加速卡类型
+accelerateType=BW1000