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README.md

+# Step-3.7-Flash
+
+## 论文
+[Step-3.7-Flash](https://static.stepfun.com/blog/step-3.7-flash/)
+
+## 模型简介
+Step 3.7 Flash 是一个拥有 1980 亿参数的稀疏混合专家（MoE）视觉语言模型，它将一个 1960 亿参数的语言主干网络与一个 18 亿参数的视觉编码器相结合，以实现原生图像理解。该模型专为高频生产工作负载设计，每个 token 激活约 110 亿参数，吞吐量最高可达每秒 400 个 token。Step 3.7 Flash 支持 256k 的上下文窗口，并提供三种可选的推理级别（低、中、高），使开发者能够轻松平衡速度、成本和认知深度。
+
+它专为处理高强度任务而设计，例如一次性解析庞大的财务报告、运行带跨源验证的多步骤搜索循环，或在高吞吐流水线中同时操作多个编码智能体。模型能力与性能如下图所示。
+
+<div align=center>
+    <img src="./doc/benchmarks.png"/>
+</div>
+
+## 环境依赖
+|      软件      |                       版本                        |
+|:------------:|:-----------------------------------------------:|
+|     DTK      |                      26.04                      |
+|    python    |                     3.10.12                     |
+|     vllm     | 0.18.1+das.dtk2604.torch2100.2605072017.gfa7180 |
+|   vllm-hcu   | 0.18.1+das.dtk2604.torch2100.2605072017.gfa7180 |
+| transformers |                      5.2.0                      |
+
+当前仅支持定制镜像: harbor.sourcefind.cn:5443/dcu/admin/base/custom:vllm0.18.1-ubuntu22.04-dtk26.04-py3.10-20260529-step3p7
+
+```bash
+docker run -it \
+    --shm-size 200g \
+    --network=host \
+    --name step3p7 \
+    --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:vllm0.18.1-ubuntu22.04-dtk26.04-py3.10-20260529-step3p7 bash
+```
+
+更多镜像可前往[光源](https://sourcefind.cn/#/service-list)下载使用。
+
+## 预训练权重
+**请根据`支持的DCU型号`选择对应模型下载，FP8模型仅在BW1100/BW1101上支持，其他型号请勿使用！**
+| 模型名称  | 权重大小  | 数据类型 | DCU型号  | 最低卡数需求 | 下载地址 |
+|:-----:|:----------:|:----------:|:----------:|:---------------------:|:----------:|
+| Step-37-Flash | 201B | BF16 | BW1100 | 8 | [ModelScope](https://www.modelscope.cn/collections/stepfun-ai/Step-37-Flash) |
+| Step-3.7-Flash-FP8 | 201B | FP8 | BW1100 | 4 | [ModelScope](https://www.modelscope.cn/models/stepfun-ai/Step-3.7-Flash-FP8) |
+
+
+## 数据集
+`暂无`
+
+## 训练
+`暂无`
+
+## 推理
+### vLLM
+#### 单机推理
+```bash
+## serve启动
+vllm serve stepfun-ai/Step-3.7-Flash \
+    --served-model-name Step-3.7-Flash \
+    --tensor-parallel-size 8 \
+    --enable-expert-parallel \
+    --disable-cascade-attn \
+    --reasoning-parser step3p5 \
+    --enable-auto-tool-choice \
+    --tool-call-parser step3p5 \
+    --trust-remote-code \
+    --hf-overrides '{"num_nextn_predict_layers": 1}' \
+    --port 8002
+
+## client访问
+curl http://localhost:8002/v1/chat/completions   \
+    -H "Content-Type: application/json"  \
+    -d '{
+        "model": "Step-3.7-Flash",
+        "messages": [
+          {"role": "user", "content": "which one is bigger, 9.11 or 9.9? "}
+        ],
+        "temperature": 0.6
+    }'
+```
+
+## 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。`
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/step-3.7-flash
+
+## 参考资料
+-  https://github.com/stepfun-ai/Step-3.7-Flash

model.properties

+# 模型唯一标识
+modelCode=15327
+# 模型名称
+modelName=Step-3.7-Flash
+# 模型描述
+modelDescription=Step 3.7 Flash 是一个拥有 1980 亿参数的稀疏混合专家（MoE）视觉语言模型，它将一个 1960 亿参数的语言主干网络与一个 18 亿参数的视觉编码器相结合，以实现原生图像理解。
+# 运行过程
+processType=推理
+# 算法类别
+appCategory=多模态
+# 框架类型
+frameType=vllm
+# 加速卡类型
+accelerateType=BW1100