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README.md

+# SmolLM3
+## 论文
+暂无
+
+## 模型简介
+SmolLM3是一个3B参数的语言模型，旨在突破小型模型的界限。它支持双模式推理、6种语言和长上下文。
+
+<div align=center>
+    <img src="./doc/arch.png"/>
+</div>
+该模型为仅解码器架构的Transformer模型，采用分组查询注意力机制与3:1比例的归一化位置编码，在包含网络文本、代码、数学及推理数据的阶段式课程学习框架下，使用11.2万亿token进行了预训练。后训练阶段包含1400亿token的中期推理专项训练，并依次进行了监督微调与基于锚点偏好优化的对齐训练。
+
+### 主要特点
+
+- 指令优化模型，专为混合推理场景设计
+**完全开源模型：** 开放所有权重，并公开完整训练细节（含公开数据配比方案及训练配置）
+**长上下文支持：** 基于64K上下文长度训练，通过YARN外推法可扩展至128K token
+**多语言原生支持：** 覆盖英语、法语、西班牙语、德语、意大利语、葡萄牙语六种语言
+
+
+
+
+
+## 环境依赖
+
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 25.04.2 |
+| python | 3.10.12 |
+| transformers | >=4.57.1 |
+| vllm |  0.9.2+das.opt1.dtk25042 |
+| torch | 2.5.1+das.opt1.dtk25042 |
+| triton | 3.1+das.opt1.3c5d12d.dtk25041 |
+| flash_attn | 2.6.1+das.opt1.dtk2504 |
+| flash_mla | 1.0.0+das.opt1.dtk25042 |
+
+当前仅支持镜像:
+- 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 smollm3 --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/  image.sourcefind.cn:5000/dcu/admin/base/vllm:0.9.2-ubuntu22.04-dtk25.04.2-py3.10 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
+可参考vllm_serve.sh脚本
+```bash
+## serve启动
+
+vllm serve HuggingFaceTB/SmolLM3-3B    --trust-remote-code --dtype bfloat16 --max-seq-len-to-capture 32768 -tp 1   --max-model-len 32768
+## client访问
+可参考vllm_cilent.sh
+curl http://localhost:8000/v1/chat/completions     -H "Content-Type: application/json"     -d '{
+        "model": "HuggingFaceTB/SmolLM3-3B",
+        "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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| SmolLM3-3B | 3B | K100AI | 1 | [下载地址](https://modelscope.cn/models/HuggingFaceTB/SmolLM3-3B) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/smollm3_vllm
+
+## 参考资料
+- https://modelscope.cn/models/HuggingFaceTB/SmolLM3-3B
+- https://huggingface.co/blog/smollm3
\ No newline at end of file

model.properties

+# 模型唯一标识
+modelCode=1874
+# 模型名称
+modelName=smollm3_vllm
+# 模型描述
+modelDescription=SmolLM3是一个3B参数的语言模型，旨在突破小型模型的界限。它支持双模式推理、6 种语言和长上下文。
+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 http://localhost:8000/v1/chat/completions     -H "Content-Type: application/json"     -d '{
+        "model": "HuggingFaceTB/SmolLM3-3B",
+        "messages": [
+            {
+                "role": "user",
+                "content": "请介绍下自己."
+                }
+            ]
+    }'
\ No newline at end of file

vllm_serve.sh

+vllm serve HuggingFaceTB/SmolLM3-3B    --trust-remote-code --dtype bfloat16 --max-seq-len-to-capture 32768 -tp 1   --max-model-len 32768
\ No newline at end of file