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update readme

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hiyouga 2023-12-12 23:30:29 +08:00
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README.md
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@ -55,7 +55,7 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
## Changelog
[23/12/12] We supported **[LoftQ](https://arxiv.org/abs/2310.08659)** training. Try `loftq_init` argument with `peft==0.7.1.dev0` for better QLoRA performance.
[23/12/12] We supported **[LoftQ](https://arxiv.org/abs/2310.08659)** training. Try `loftq_init` argument with [a patched peft](https://github.com/hiyouga/peft) for better QLoRA performance.
[23/12/12] We supported fine-tuning the latest MoE model **[Mixtral 8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1)** in our framework. See hardware requirement [here](#hardware-requirement).

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README_zh.md
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@ -55,7 +55,7 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846
## 更新日志
[23/12/12] 我们支持了 **[LoftQ](https://arxiv.org/abs/2310.08659)** 训练。请使用 `loftq_init` 参数以及 `peft==0.7.1.dev0` 以提升 QLoRA 性能。
[23/12/12] 我们支持了 **[LoftQ](https://arxiv.org/abs/2310.08659)** 训练。请使用 `loftq_init` 参数以及[修复后的 peft](https://github.com/hiyouga/peft) 以提升 QLoRA 性能。
[23/12/12] 我们支持了微调最新的混合专家模型 **[Mixtral 8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1)**。硬件需求请查阅[此处](#硬件依赖)。