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Update README.md

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\[ English | [中文](README_zh.md) \]
## Example: Fine-tuning large language model within 10 minutes
## LLaMA Board: A One-stop Web UI for Getting Started with LLaMA Factory
Launch an **all-in-one Web UI** via `python src/train_web.py`.
Launch **LLaMA Board** via `CUDA_VISIBLE_DEVICES=0 python src/train_web.py`. (multiple GPUs are not supported yet)
Here is an example of altering the self-cognition of an instruction-tuned language model within 10 minutes on a single GPU.
https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846-2d88920d5ba1
@ -160,17 +162,6 @@ If you want to enable the quantized LoRA (QLoRA) on the Windows platform, you wi
pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.39.1-py3-none-win_amd64.whl
```
### All-in-one Web UI
```bash
CUDA_VISIBLE_DEVICES=0 python src/train_web.py
```
We **strongly recommend** using the all-in-one Web UI for newcomers since it can also generate training scripts automatically, even without a GPU environment.
> [!WARNING]
> Currently the web UI only supports training on **a single GPU**.
### Train on a single GPU
> [!IMPORTANT]