423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-12-15 11:20:35 +08:00
Code Issues Packages Projects Releases Wiki Activity

update readme

Browse Source
This commit is contained in:
hiyouga
2023-11-16 15:58:37 +08:00
parent f04bc2a428
commit 72e6699547
2 changed files with 5 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
README_zh.md
View File

@@ -7,6 +7,7 @@
[![Downloads](https://static.pepy.tech/badge/llmtuner)](https://pypi.org/project/llmtuner/)
[![GitHub pull request](https://img.shields.io/badge/PRs-welcome-blue)](https://github.com/hiyouga/LLaMA-Factory/pulls)
[![Discord](https://dcbadge.vercel.app/api/server/c2EPEt5NU?compact=true&style=flat)](https://discord.gg/c2EPEt5NU)
[![Spaces](https://img.shields.io/badge/🤗-Open%20In%20Spaces-blue)](https://huggingface.co/spaces/hiyouga/LLaMA-Board)
👋 加入我们的[微信群](assets/wechat.jpg)。
@@ -14,9 +15,9 @@
## LLaMA Board: 通过一站式网页界面快速上手 LLaMA Factory
通过 **[Hugging Face Space](https://huggingface.co/spaces/hiyouga/LLaMA-Board)** 预览 LLaMA Board。
通过 **[🤗 Spaces](https://huggingface.co/spaces/hiyouga/LLaMA-Board)** 预览 LLaMA Board。
使用 `CUDA_VISIBLE_DEVICES=0 python src/train_web.py` 启动 LLaMA Board。（该界面目前仅支持单卡训练）
使用 `CUDA_VISIBLE_DEVICES=0 python src/train_web.py` 启动 LLaMA Board。（该模式目前仅支持单卡训练）
下面是使用单张 GPU 在 10 分钟内更改对话式大型语言模型自我认知的示例。