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enginex-mlu370-any2any/README.md

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2025-10-09 16:37:25 +08:00
# enginex-mlu370-any2any
2025-10-09 17:22:03 +08:00
# 寒武纪 mlu370 统一多模态
该模型测试框架在寒武纪mlu370 X8/X4加速卡上基于Transfomer框架适配了 Qwen/Qwen3-Omni-30B-A3B-Instruct 模型。
* 详见 https://modelscope.cn/models/Qwen/Qwen3-Omni-30B-A3B-Instruct
## Quick Start
1. 首先从modelscope上下载vlm`gemma-3-4b-it`
```bash
modelscope download --model Qwen/Qwen3-Omni-30B-A3B-Instruct --local_dir /models/Qwen3-Omni-30B-A3B-Instruct
```
2. 构建镜像
```bash
docker build -t qwen:omni .
```
3. 启动docker
```bash
docker run -it --rm \
-v /models/:/mnt/models \
--device=/dev/cambricon_dev0:/dev/cambricon_dev0 \
--device=/dev/cambricon_dev1:/dev/cambricon_dev1 \
--device=/dev/cambricon_dev2:/dev/cambricon_dev2 \
--device=/dev/cambricon_dev3:/dev/cambricon_dev3 \
--device=/dev/cambricon_ctl:/dev/cambricon_ctl \
-p 8080:80 \
qwen:omni
```
注意需要在本地使用寒武纪mlu370 芯片
4. 测试服务
4.1 测试视觉理解
```bash
python request.py
```
4.2 测试统一多模态
启动容器时指定入口点为 /bin/bash
```bash
docker run -it --rm \
-v /models/:/mnt/models \
--device=/dev/cambricon_dev0:/dev/cambricon_dev0 \
--device=/dev/cambricon_dev1:/dev/cambricon_dev1 \
--device=/dev/cambricon_dev2:/dev/cambricon_dev2 \
--device=/dev/cambricon_dev3:/dev/cambricon_dev3 \
--device=/dev/cambricon_ctl:/dev/cambricon_ctl \
--entrypoint /bin/bash \
-p 8080:80 \
qwen:omni
```
将 test.py 拷贝到容器内
```
docker cp ./test.py <container_id>:/workspace/test.py
```
进入容器执行测试脚本
```bash
python test.py
```