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README.md

+# LFM2.5
+## 论文
+[LFM2 Technical Report](https://arxiv.org/abs/2511.23404)
+
+## 模型简介
+LFM2.5是一个专为端侧部署设计的新型混合模型系列。它在LFM2架构的基础上，通过扩展预训练和强化学习构建而成。<br>
+核心特性:
+
+- 同类最佳性能：一个12亿参数的模型可媲美更大的模型，将高质量的人工智能带入你的口袋。<br>
+- 快速边缘推理：在AMD CPU上解码速度达239词元/秒，在移动NPU上达82词元/秒。内存占用低于1GB，并在发布首日即支持llama.cpp、MLX 和vLLM。<br>
+- 规模化训练：预训练数据从10万亿词元扩展至28万亿词元，并进行了大规模多阶段强化学习。<br>
+
+<div align="center">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/dxnYF2fuLpulismtFSGFi.png" width="100%" />
+</div>
+
+## 环境依赖
+
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 26.04 |
+| python | 3.10.12 |
+| torch | 2.9.0+das.opt1.dtk2604.20260126.g22910426 |
+| transformers | 5.2.0.dev0 |
+| vllm | 0.15.1+das.opt1.alpha.dtk2604 |
+
+推荐使用镜像：image.sourcefind.cn:5000/dcu/admin/base/custom:pytorch2.9.1-ubuntu22.04-dtk26.04-0130-py3.10-20260204-qwen3_5
+
+- 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 LFM2.5 \
+    --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/ \
+    image.sourcefind.cn:5000/dcu/admin/base/custom:pytorch2.9.1-ubuntu22.04-dtk26.04-0130-py3.10-20260204-qwen3_5 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，moviepy库需要单独安装。
+
+```bash
+pip install numpy==1.25
+```
+
+## 数据集
+
+`暂无`
+
+## 训练
+
+`暂无`
+
+## 推理
+
+### transformers
+#### 单机推理
+```bash
+python inference.py
+```
+
+## 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：transformers`
+
+## 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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| LFM2.5-1.2B-Instruct | 1.2B | BW1000  | 1  | [HuggingFace](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/lfm2.5_pytorch
+
+## 参考资料
+- https://docs.liquid.ai/lfm/getting-started/welcome
+

inference.py

+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="LiquidAI/LFM2.5-1.2B-Instruct")
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+print(pipe(messages))
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model.properties

+# 模型唯一标识
+modelCode=2291
+# 模型名称
+modelName=LFM2.5_pytorch
+# 模型描述
+modelDescription=LFM2.5是一个专为端侧部署设计的新型混合模型系列。
+# 运行过程
+processType=推理
+# 算法类别
+appCategory=对话问答
+# 框架类型
+frameType=pytorch
+# 加速卡类型
+accelerateType=BW1000
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