Add mimo-v2-flash sglang

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README.md

+# MiMo-V2-Flash
+## 论文
+[MiMo-V2-Flash Technical Report](doc/paper.pdf)
+
+## 模型简介
+MiMo-V2-Flash 是一个混合专家（Mixture-of-Experts, MoE）语言模型，总参数量为 3090 亿，激活参数量为 150 亿。该模型专为高速推理和智能体工作流设计，采用了一种新颖的混合注意力架构和多词元预测（Multi-Token Prediction, MTP），在显著降低推理成本的同时实现了业界领先的性能。
+
+MiMo-V2-Flash 在长上下文建模能力和推理效率之间实现了新的平衡。其主要特性包括：
+
+- **混合注意力架构：**以 5:1 的比例交错使用滑动窗口注意力（Sliding Window Attention, SWA）和全局注意力（Global Attention, GA），并采用激进的 128 词元窗口。这使 KV 缓存存储需求减少了近 6 倍，同时通过可学习的 注意力汇聚偏置（attention sink bias） 保持了长上下文性能。
+- **多词元预测（MTP）：**配备轻量级 MTP 模块（每层 0.33B 参数），使用密集前馈网络（FFN）。这使推理时的输出速度提升三倍，并有助于加速强化学习（RL）训练中的 rollout 过程。
+- **高效预训练：**使用 FP8 混合精度和原生 32k 序列长度，在 27T 词元上完成训练。上下文窗口最大支持 256k 长度。
+- **智能体能力：**后训练阶段采用多教师在线策略蒸馏（Multi-Teacher On-Policy Distillation, MOPD）和大规模智能体强化学习，在 SWE-Bench 和复杂推理任务上表现卓越。
+
+<div align=center>
+    <img src="./doc/MiMo-v2-flash-performance.jpg"/>
+</div>
+
+## 环境依赖
+
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 26.04 |
+| Python | 3.10.12 |
+| torch | 2.9.0+das.opt1.dtk2604.2604151933.g4ed9ab |
+| triton | 3.3.0+das.opt2.dtk2604.torch290.20260331.g31542e |
+| Transformers | 5.3.0 |
+| SGLang | 2.9.0+das.opt1.dtk2604.2604151933.g4ed9ab |
+
+推荐使用镜像: harbor.sourcefind.cn:5443/dcu/admin/base/custom:sglang-0.5.10-glm5-0416
+
+- 挂载地址`-v`根据实际模型情况修改
+
+```bash
+docker run -it \
+    --shm-size 256g \
+    --network=host \
+    --name mimo-v2-flash \
+    --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:sglang-0.5.10-glm5-0416 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
+### SGLang
+#### 单机推理
+1. 启动服务
+```bash
+export SGLANG_USE_LIGHTOP=1
+export SGLANG_KV_LAYOUT_DCU_FA=0
+export SGLANG_ENABLE_SPEC_V2=1
+export SGLANG_USE_AITER_FP8_ASM_MOE=1
+export SGLANG_USE_TRITON_EXTEND_FROM_AITER=1
+
+sglang serve --model-path XiaomiMiMo/MiMo-V2-Flash \
+        --tp-size 4 \
+        --page-size 64 \
+        --host 0.0.0.0 \
+        --port 8001 \
+        --trust-remote-code \
+        --mem-fraction-static 0.85 \
+        --max-running-requests 64 \
+        --tool-call-parser mimo \
+        --context-length 262144 \
+        --attention-backend triton \
+        --chunked-prefill-size -1 \
+        --speculative-algorithm EAGLE \
+        --speculative-num-steps 3 \
+        --speculative-eagle-topk 1 \
+        --speculative-num-draft-tokens 4 \
+        --disable-radix-cache
+```
+
+2. 访问推理服务
+```bash
+curl http://localhost:8001/v1/chat/completions   \
+    -H "Content-Type: application/json"  \
+    -d '{
+        "model": "XiaomiMiMo/MiMo-V2-Flash",
+        "messages": [
+            {
+                "role": "user",
+                "content": "Nice to meet you MiMo"
+            }
+        ],
+        "max_tokens": 1024,
+        "temperature": 0.8,
+        "top_p": 0.95,
+        "chat_template_kwargs": {
+            "enable_thinking": true
+        }
+    }'
+```
+
+## 效果展示
+<div align=center>
+    <img src="./doc/results-dcu.png"/>
+</div>
+
+### 精度
+`DCU与GPU精度一致，推理框架：SGLang。`
+
+## 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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| MiMo-V2-Flash | 309B | BW1100 | 4 | [ModelScope](https://modelscope.cn/models/XiaomiMiMo/MiMo-V2-Flash) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/mimo-v2-flash
+
+## 参考资料
+- https://github.com/XiaomiMiMo/MiMo-V2-Flash
\ No newline at end of file

model.properties

+# 模型唯一标识
+modelCode=2395
+# 模型名称
+modelName=MiMo-V2-Flash
+# 模型描述
+modelDescription=MiMo-V2-Flash 是一个混合专家（Mixture-of-Experts, MoE）语言模型，总参数量为 3090 亿，激活参数量为 150 亿。
+# 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=BW1100
\ No newline at end of file