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Jun 14, 2025
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[mirror] update swift mirror #4601

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14659f5
update swift image
Jintao-Huang Jun 14, 2025
78b65ed
update
Jintao-Huang Jun 14, 2025
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18 changes: 14 additions & 4 deletions docs/source/GetStarted/SWIFT安装.md
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Expand Up @@ -38,20 +38,30 @@ pip install ms-swift==2.*
## 镜像

```
# swift3.5.1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1

# swift3.4.1.post1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
```

<details><summary>历史镜像</summary>

```
# swift3.3.0.post1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.3-modelscope1.25.0-swift3.3.0.post1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.3-modelscope1.25.0-swift3.3.0.post1

# swift3.2.2
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.5.1-modelscope1.25.0-swift3.2.2
```
</details>

更多镜像可以查看[这里](https://modelscope.cn/docs/intro/environment-setup#%E6%9C%80%E6%96%B0%E9%95%9C%E5%83%8F)
更多镜像可以查看[这里](https://modelscope.cn/docs/intro/environment-setup#%E6%9C%80%E6%96%B0%E9%95%9C%E5%83%8F)。

## 支持的硬件

Expand Down Expand Up @@ -87,6 +97,6 @@ modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu2

Swift支持训练的绝大多数模型都可以在`A10`显卡上使用，用户可以使用ModelScope官方提供的免费显卡资源：

1. 进入[ModelScope](https://www.modelscope.cn)官方网站并登录
2. 点击左侧的`我的Notebook`并开启一个免费GPU实例
3. 愉快地薅A10显卡羊毛
1. 进入[ModelScope](https://www.modelscope.cn)官方网站并登录。
2. 点击左侧的`我的Notebook`并开启一个免费GPU实例。
3. 愉快地薅A10显卡羊毛。
9 changes: 4 additions & 5 deletions docs/source/Instruction/Megatron-SWIFT训练.md
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Expand Up @@ -11,8 +11,7 @@ SWIFT引入了Megatron的并行技术来加速大模型的训练，包括数据
pip install pybind11
# transformer_engine
# 若出现安装错误，可以参考该issue解决: https://github.com/modelscope/ms-swift/issues/3793
# ms-swift使用此版本测试: pip install git+https://github.com/NVIDIA/TransformerEngine.git@9c8ba5c8d1a9a8479ab45fbf7951025a393e7c66
pip install git+https://github.com/NVIDIA/TransformerEngine.git@stable
pip install git+https://github.com/NVIDIA/TransformerEngine.git@release_v2.3

# apex
git clone https://github.com/NVIDIA/apex
Expand All @@ -27,9 +26,9 @@ pip install git+https://github.com/NVIDIA/Megatron-LM.git@core_r0.12.0

或者你也可以使用镜像：
```
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
```

依赖库Megatron-LM中的训练模块将由swift进行git clone并安装。你也可以通过环境变量`MEGATRON_LM_PATH`指向已经下载好的repo路径（断网环境，[core_r0.12.0分支](https://github.com/NVIDIA/Megatron-LM/tree/core_r0.12.0)）。
Expand Down
10 changes: 10 additions & 0 deletions docs/source_en/GetStarted/SWIFT-installation.md
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Expand Up @@ -39,18 +39,28 @@ pip install ms-swift==2.*
## Mirror

```
# swift3.5.1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1

# swift3.4.1.post1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
```

<details><summary>Historical Mirrors</summary>

```
# swift3.3.0.post1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.3-modelscope1.25.0-swift3.3.0.post1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.3-modelscope1.25.0-swift3.3.0.post1

# swift3.2.2
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.5.1-modelscope1.25.0-swift3.2.2
```
</details>

More images can be found [here](https://modelscope.cn/docs/intro/environment-setup#%E6%9C%80%E6%96%B0%E9%95%9C%E5%83%8F).

Expand Down
9 changes: 4 additions & 5 deletions docs/source_en/Instruction/Megatron-SWIFT-Training.md
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Expand Up @@ -12,8 +12,7 @@ To use Megatron-SWIFT, in addition to installing the `swift` dependencies, you a
pip install pybind11
# transformer_engine
# If an installation error occurs, you can refer to this issue for resolution: https://github.com/modelscope/ms-swift/issues/3793
# ms-swift uses this version for testing: pip install git+https://github.com/NVIDIA/TransformerEngine.git@9c8ba5c8d1a9a8479ab45fbf7951025a393e7c66
pip install git+https://github.com/NVIDIA/TransformerEngine.git@stable
pip install git+https://github.com/NVIDIA/TransformerEngine.git@release_v2.3

# apex
git clone https://github.com/NVIDIA/apex
Expand All @@ -28,9 +27,9 @@ pip install git+https://github.com/NVIDIA/Megatron-LM.git@core_r0.12.0

Alternatively, you can also use the image:
```
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.26.0-swift3.4.1.post1
modelscope-registry.cn-hangzhou.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-cuda12.4.0-py311-torch2.6.0-vllm0.8.5.post1-modelscope1.27.0-swift3.5.1
```

The training module in the dependent library Megatron-LM will be cloned and installed by swift via `git clone`. Alternatively, you can use the environment variable `MEGATRON_LM_PATH` to point to the path of an already downloaded repository (in offline environments, use the [core_r0.12.0 branch](https://github.com/NVIDIA/Megatron-LM/tree/core_r0.12.0)).
Expand Down