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# Bielik-11B-v3.0-Instruct
## 论文
[Bielik-11B-v3.0-Instruct](https://github.com/speakleash/bielik-papers/blob/main/v3/Bielik_11B_v3.pdf)
## 模型简介
Bielik-11B-v3.0-Instruct 是一款具有110亿参数的生成式文本模型。该模型是在Bielik-11B-v3-Base-20250730基础上进行指令微调的版本。该模型的诞生见证了开源科研项目SpeakLeash与高性能计算中心ACK Cyfronet AGH的独特合作成果。
模型基于32种欧洲语言的多语种文本语料进行开发训练,其中波兰语语料经过SpeakLeash团队的精选与系统化处理。该项目充分利用了波兰国家级大规模计算基础设施——特别是PLGrid计算环境中的ACK Cyfronet AGH等高性能计算中心的资源。模型的创建与训练依托计算授权号PLG/2024/016951的支持,在Athena和Helios超级计算机上完成,这些先进计算资源为大规模机器学习过程提供了关键技术保障。
最终,该模型展现出对波兰语及其他欧洲语言的卓越理解和处理能力,能够提供精准响应,并在多种语言任务中实现高精度性能表现。
## 环境依赖
| 软件 | 版本 |
| :------: | :------: |
| DTK | 25.04.2 |
| python | 3.10.12 |
| transformers | >=4.57.1 |
| vllm | 0.11.0+das.opt1.alpha.dtk25042.20251225.gca4598a4 |
| torch | 2.5.1+das.opt1.dtk25042 |
| triton | 3.1.0+das.opt1.dtk25042.20251224.gaa867475 |
推荐使用镜像:harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk25.04.2-tx-1226-das1.7-py3.10-20251226
- 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 Bielik-11B-v3.0-Instruct --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/ harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk25.04.2-tx-1226-das1.7-py3.10-20251226 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
```bash
## serve启动
可参考vllm_serve.sh脚本
vllm serve speakleash/Bielik-11B-v3.0-Instruct --trust-remote-code --dtype bfloat16 -tp 1 --max-model-len 32768 --port 8010
## client访问
可参考vllm_cilent.sh
curl -X POST "http://localhost:8010/v1/chat/completions" -H "Content-Type: application/json" --data '{
"model": "speakleash/Bielik-11B-v3.0-Instruct",
"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|
|:-----:|:----------:|:----------:|:---------------------:|:----------:|
| Bielik-11B-v3.0-Instruct | 11B | K100AI | 1 | [下载地址](https://www.modelscope.cn/models/speakleash/Bielik-11B-v3.0-Instruct) |
## 源码仓库及问题反馈
- https://developer.sourcefind.cn/codes/modelzoo/bielik-11b-v3.0-instruct_vllm
## 参考资料
- https://github.com/speakleash/bielik-papers/tree/main
icon.png

62.1 KB

# 模型唯一标识
modelCode=1997
# 模型名称
modelName=Bielik-11B-v3.0-Instruct_vllm
# 模型描述
modelDescription=Bielik-11B-v3.0-Instruct是一款具有110亿参数的生成式文本模型。该模型是在Bielik-11B-v3-Base-20250730基础上进行指令微调的版本
# 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
curl -X POST "http://localhost:8010/v1/chat/completions" -H "Content-Type: application/json" --data '{
"model": "speakleash/Bielik-11B-v3.0-Instruct",
"messages": [
{
"role": "user",
"content": "请介绍下自己"
}
]
}'
vllm serve speakleash/Bielik-11B-v3.0-Instruct --trust-remote-code --dtype bfloat16 -tp 1 --max-model-len 32768 --port 8010
\ No newline at end of file
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