423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-08-03 12:12:50 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source 
Former-commit-id: beacb798ea83a910c2941e3993b78e446b9bd267
This commit is contained in:
hoshi-hiyouga 2023-10-16 00:23:37 +08:00 committed by GitHub
parent 451a90fca1
commit aa67673c68
1 changed files with 4 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
README.md
View File

@ -12,9 +12,11 @@
\[ English | [中文](README_zh.md) \] \[ English | [中文](README_zh.md) \]
## 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 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 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 ### Train on a single GPU
> [!IMPORTANT] > [!IMPORTANT]