mirror of
https://github.com/QwenLM/Qwen.git
synced 2026-05-20 16:35:47 +08:00
46 lines
918 B
Markdown
46 lines
918 B
Markdown
# 昇腾910架构基于mindformers推理Qwen-7B-Chat模型
|
||
|
||
## 环境要求
|
||
|
||
- 硬件:Ascend 910A/B
|
||
|
||
## 运行步骤
|
||
|
||
首先参考Qwen README下载官方模型到`/path/to/Qwen-7B-Chat`。
|
||
|
||
### 下载并启动镜像
|
||
|
||
```bash
|
||
docker pull qwenllm/qwen-mindspore:latest
|
||
|
||
cd /path/to/Qwen/ascend-support
|
||
|
||
# 下载模型到此处
|
||
CHECKPOINT_PATH=/path/to/Qwen-7B-Chat
|
||
|
||
cd ascend-support
|
||
|
||
# 启动docker容器
|
||
bash docker_qwen.sh -c ${CHECKPOINT_PATH}
|
||
```
|
||
|
||
### 执行权重转换
|
||
|
||
在容器内执行下面的命令,将Qwen模型转换为适配`mindformers`的格式:
|
||
|
||
```bash
|
||
python3 /data/qwen/mindformers/research/qwen/convert_weight.py
|
||
```
|
||
|
||
转换后模型的输出位置为`${CHECKPOINT_PATH}/qwen-7b-chat.ckpt`。
|
||
|
||
### 执行推理
|
||
|
||
在容器内执行下面的命令,进行推理:
|
||
|
||
```bash
|
||
cd /data/qwen/mindformers/research/qwen
|
||
export PYTHONPATH=/data/qwen/mindformers:$PYTHONPATH
|
||
python3 infer_qwen.py
|
||
```
|