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Ouro-1.4B.py

+from transformers import pipeline
+import torch
+pipe = pipeline(
+    "text-generation", 
+    model="ByteDance/Ouro-1.4B", 
+    trust_remote_code=True,
+    device_map="auto",  # 自动分配模型到所有可用GPU
+    torch_dtype=torch.float16  # 使用半精度减少显存占用
+)
+
+messages = [
+    {"role": "user", "content": "介绍下你自己"},
+]
+result = pipe(messages)
+print(result)

README.md

+# Ouro
+## 论文
+[Ouro](https://arxiv.org/pdf/2510.25741)
+
+## 模型简介
+Ouro-1.4B基于Transformer架构中的解码器，主要特点如下：
+- 卓越的参数效率：仅用1.4B参数即可匹配3-4B标准transformer的性能
+- 迭代潜空间推理：在潜空间中通过递归计算进行推理
+- 自适应计算：支持早期退出机制以实现动态计算分配
+模型架构如下：  
+
+| 配置 | 值 |
+| :------: | :------: |
+| 参数 | 1.4B |
+| 层数 | 24 |
+| 循环步骤 | 4 |
+| 隐藏层大小 | 2048 |
+| 注意力头 | 多头注意力（MHA） |
+| FFN激活函数 | SwiGLU |
+| 位置嵌入 | RoPE |
+| 上下文长度 | 4K（训练），可扩展到64K |
+
+## 环境依赖
+
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 25.04.2 |
+| python | 3.10 |
+| transformers | 4.54.1 |
+| pytorch | 2.7.1+das.opt1.dtk25042 |
+
+推荐使用镜像:
+- 挂载地址`-v`，`{docker_name}`和 `{docker_image_name}`根据实际模型情况修改
+
+```bash
+docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.7.1-ubuntu22.04-dtk25.04.2-py3.10-alpha
+docker run -it --shm-size 200g --network=host --name {docker_name} --privileged --device=/dev/kfd --device=/dev/dri --device=/dev/mkfd --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -u root -v /path/your_code_data/:/path/your_code_data/ -v /opt/hyhal/:/opt/hyhal/:ro {imageID} bash
+
+cd /your_code_path/ouro_pytorch
+pip install transformers==4.54.1
+```
+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
+
+### transformers
+#### 单机推理
+```bash
+export HIP_VISIBLE_DEVICES=0
+python Ouro-1.4B.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：pytorch。
+
+## 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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| Ouro-1.4B | 1.4B | K100AI,BW1000 | 1 | [下载地址](https://huggingface.co/ByteDance/Ouro-1.4B) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/ouro_pytorch
+
+## 参考资料
+- https://huggingface.co/ByteDance/Ouro-1.4B

model.properties

+# 模型唯一标识
+modelCode = 1812
+# 模型名称
+modelName= Ouro_pytorch
+# 模型描述
+modelDescription=Ouro-1.4B是一个具有14亿参数的循环语言模型（LoopLM），通过迭代共享权重计算实现了卓越的参数效率
+# 应用场景
+processType=推理
+# 算法类别
+appScenario=对话问答
+# 框架类型
+frameType=pytorch
+# 加速卡类型
+accelerateType=BW1000,K100AI
+