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# EuroLLM
## 论文
暂无
## 模型简介
EuroLLM采用标准的稠密Transformer架构，其核心配置包含：分组查询注意力机制、基于RMSNorm的层前归一化、SwiGLU激活函数，以及每层均使用的旋转位置编码。以下是该模型的关键超参数概要：
| 技术参数 | 数值 |
| :------: | :------: |
| 最大序列长度 | 32768 |
| Transformer层数 | 56 |
| 嵌入维度 | 6144 |
| 前馈网络隐藏层维度 | 16384 |
| 注意力头数 | 48 |
## 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 |
推荐使用镜像:image.sourcefind.cn:5000/dcu/admin/base/vllm:0.9.2-ubuntu22.04-dtk25.04.2-py3.10
- 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 EuroLLM --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 utter-project/EuroLLM-22B-Instruct-2512 --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 -X POST "http://localhost:8000/v1/chat/completions" -H "Content-Type: application/json" --data '{
"model": "utter-project/EuroLLM-22B-Instruct-2512",
"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|
|:-----:|:----------:|:----------:|:---------------------:|:----------:|
| EuroLLM-22B-Instruct-2512 | 22B | K100AI | 1 | [下载地址](https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512) |
## 源码仓库及问题反馈
- https://developer.sourcefind.cn/codes/modelzoo/eurollm_vllm
## 参考资料
- https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512
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# 模型唯一标识
modelCode=1910
# 模型名称
modelName=EuroLLM_vllm
# 模型描述
modelDescription=EuroLLM-22B是一个拥有220亿参数的模型，基于4万亿跨语言token进行训练，数据来源涵盖网络文本、平行语料（英-X及X-英双向对齐数据）以及精选高质量数据集
# 应用场景
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
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curl -X POST "http://localhost:8000/v1/chat/completions" -H "Content-Type: application/json" --data '{
"model": "utter-project/EuroLLM-22B-Instruct-2512",
"messages": [
{
"role": "user",
"content": "请介绍下自己"
}
]
}'
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vllm serve utter-project/EuroLLM-22B-Instruct-2512 --trust-remote-code --dtype bfloat16 --max-seq-len-to-capture 32768 -tp 1 --max-model-len 32768
\ No newline at end of file
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