Update EN docs for ascend quickstart

Author: A1waysBeenHere

docs/ascend_tutorials/ascend_quick_start.md

@@ -15,18 +15,11 @@ Last updated: 11/28/2025
 
 基础环境准备请参照这份 [文档](https://gitcode.com/Ascend/pytorch) 。
 
-### 安装VeOmni
-
-```bash
-git clone https://github.com/ByteDance-Seed/VeOmni.git
-cd VeOmni
-pip install -e .[npu]
-````
-
 ### 使用uv安装依赖环境
 
 #### 1. 进入VeOmni仓的根目录
 
+    git clone https://github.com/ByteDance-Seed/VeOmni.git
     cd VeOmni
 
 #### 2. 固定python版本
@@ -38,6 +31,7 @@ pip install -e .[npu]
 如果网络不稳定，可以设置超时时间防止下载超时。设置环境变量 UV_HTTP_TIMEOUT 来调整超时时间：
 
     export UV_HTTP_TIMEOUT=60
+
 #### 4. 执行 uv 环境安装
 
     uv sync --extra npu --allow-insecure-host github.com --allow-insecure-host pythonhosted.org
@@ -65,6 +59,7 @@ pip install -e .[npu]
 export ASCEND_RT_VISIBLE_DEVICES=0,1,2,3
 export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
 export MULTI_STREAM_MEMORY_REUSE=2
+
 bash train.sh tasks/train_torch.py configs/sft/qwen3_sft.yaml
 ```
 

docs/ascend_tutorials/ascend_quick_start_en.md

@@ -0,0 +1,74 @@
+# Ascend Quickstart
+
+Last updated: 2025-11-28
+
+We have added support for Huawei Ascend devices in VeOmni.
+
+### Environment Requirements
+
+| software  | version        |
+| --------- | -------------- |
+| Python    | >= 3.10, <3.12 |
+| CANN      | == 8.3.RC1     |
+| torch     | == 2.7.1       |
+| torch_npu | == 2.7.1       |
+
+Please refer to this [document](https://gitcode.com/Ascend/pytorch) for basic environment setup.
+
+### Installing Dependencies with uv
+
+#### 1. Enter the VeOmni root directory
+
+    git clone https://github.com/ByteDance-Seed/VeOmni.git
+    cd VeOmni
+
+#### 2. Pin the Python version
+
+    uv python pin 3.11
+
+#### 3. (Optional) Set timeout
+
+If the network is unstable, you can increase the timeout to avoid download failures by setting the UV_HTTP_TIMEOUT environment variable:
+
+    export UV_HTTP_TIMEOUT=60
+
+#### 4. Install the environment using uv
+
+    uv sync --extra npu --allow-insecure-host github.com --allow-insecure-host pythonhosted.org
+
+#### 5. Using the environment
+
+After installation, a .venv folder will appear in the VeOmni project root. This is the environment created by uv.
+Activate it with:
+
+    source .venv/bin/activate
+
+Check installed dependencies:
+
+    uv pip list
+
+### Quick Start
+
+1.	Prepare the model and dataset.
+
+2.	Set the NPROC_PER_NODE parameter in train.sh according to the number of available NPUs.
+
+3.	Run the training script:
+
+```bash
+# Set environment variables
+export ASCEND_RT_VISIBLE_DEVICES=0,1,2,3
+export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
+export MULTI_STREAM_MEMORY_REUSE=2
+
+bash train.sh tasks/train_torch.py configs/sft/qwen3_sft.yaml
+```
+
+Parallelism Support
+
+| Feature          | Supported   |
+| ---------------- | ----------- |
+| fsdp             | ✅           |
+| fsdp2            | ✅           |
+| ulysses parallel | ✅           |
+| expert_parallel  | In progress |