add qwen3-next-80b-a3b_vllm

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README.md

+# Qwen3-Next-80B-A3B
+## 论文
+暂无
+## 模型简介
+
+Qwen3-Next-80B-A3B 是 Qwen3-Next 系列的第一个版本，具有以下关键改进：
+
+混合注意力：用 Gated DeltaNet 和 Gated Attention 的组合替代标准注意力机制，实现超长上下文的有效建模。
+高稀疏度混合专家系统（MoE）：在 MoE 层中实现极低的激活比率，大幅减少每个 token 的 FLOPs，同时保持模型容量。
+稳定性优化：包括 零中心化和权重衰减的层归一化 以及其他稳定增强技术，以确保预训练和后训练的稳健性。
+多 token 预测（MTP）：提升预训练模型性能并加速推理。
+
+<div align=center>
+    <img src="./doc/model_architecture.png"/>
+</div>
+
+## 环境依赖
+
+|     软件     |                      版本                      |
+| :----------: | :--------------------------------------------: |
+|     DTK      |                    26.04.2                     |
+|    python    |                    3.10.12                     |
+| transformers |                     4.57.6                     |
+|    torch     |   2.5.1+das.opt1.dtk2604.20260116.g78471bfd    |
+|  accelerate  |                     1.12.0                     |
+| torchvision  |   0.20.1+das.opt1.dtk2604.20260116.g65c66897   |
+|  flash_attn  |   2.6.1+das.opt1.dtk2604.20260131.g4edd8bf9    |
+|     vllm     | 0.11.0+das.opt1.rc2.dtk2604.20260128.g0bf89b0c |
+
+推荐使用镜像:harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk26.04-0130-py3.10-20260202
+
+- 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 qwen3-next \
+    --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/vllm:0.11.0-ubuntu22.04-dtk26.04-0130-py3.10-20260202 bash
+```
+
+更多镜像可前往[光源](https://sourcefind.cn/#/service-list)下载使用。
+
+## 数据集
+
+`暂无`
+
+## 训练
+
+`暂无`
+
+## 推理
+
+## vllm
+
+#### 单机推理
+
+```bash
+## serve启动
+export HF_HUB_OFFLINE=1
+export TRANSFORMERS_OFFLINE=1
+vllm serve /public/home/weishb/Qwen3-Next-80B-A3B-Thinking/Qwen3-Next-80B-A3B-Thinking \
+  --served-model-name "Qwen3-Next-80B-A3B-Thinking" \
+  --dtype bfloat16 \
+  --trust-remote-code \
+  --tensor-parallel-size 4 \
+  --gpu-memory-utilization 0.95 \
+  --max-model-len 8192 \
+  --port 8000
+
+## client访问
+curl http://127.0.0.1:8000/v1/chat/completions -H "Content-Type: application/json" -d '{"model":"Qwen3-Next-80B-A3B-Thinking","messages":[{"role":"user","content":"简短介绍一下Qwen3-Next-80B-A3B模型"}],"temperature":0.3}'
+```
+
+## 效果展示
+
+<div align=center>
+    <img src="./doc/02.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-Next-80B-A3B-Instruct** |     80B      | K100AI,BW1000 |        4         | [Qwen3-Next-80B-A3B-Instruct](https://www.modelscope.cn/models/Qwen/Qwen3-Next-80B-A3B-Instruct) |
+| **Qwen3-Next-80B-A3B-Thinking** |     80B      | K100AI,BW1000 |        4         | [Qwen3-Next-80B-A3B-Thinking](https://www.modelscope.cn/models/Qwen/Qwen3-Next-80B-A3B-Thinking) |
+
+
+
+
+## 源码仓库及问题反馈
+
+- https://developer.sourcefind.cn/codes/modelzoo/qwen3-next-80b-a3b_vllm
+
+## 参考资料
+
+- https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list

model.properties

+# 模型唯一标识
+modelCode=2093
+# 模型名称
+modelName=Qwen3-Next-80B-A3B_vllm
+# 模型描述
+modelDescription=Qwen3-Next-80B-A3B 是 Qwen3-Next 系列的第一个版本
+# 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=K100AI,BW1000