From 3f50d572ed1e1180e1e50cfa1093ed03a5f9d4b9 Mon Sep 17 00:00:00 2001
From: 0xez <110299556+0xez@users.noreply.github.com>
Date: Thu, 21 Mar 2024 22:14:48 +0800
Subject: [PATCH 1/2] Update README.md, fix the release date of the paper

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 ## Changelog
 
-[23/03/21] Our paper "[LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://arxiv.org/abs/2403.13372)" is available at arXiv!
+[24/03/21] Our paper "[LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://arxiv.org/abs/2403.13372)" is available at arXiv!
 
 [24/03/20] We supported **FSDP+QLoRA** that fine-tunes a 70B model on 2x24GB GPUs. See `examples/fsdp_qlora` for usage.
 

From 028a8bc5325e1a1a3e240d877437db2da31a81e4 Mon Sep 17 00:00:00 2001
From: 0xez <110299556+0xez@users.noreply.github.com>
Date: Fri, 22 Mar 2024 10:41:17 +0800
Subject: [PATCH 2/2] Update README_zh.md, fix the release date of the paper

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@@ -68,7 +68,7 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/ec36a9dd-37f4-4f72-81bd
 
 ## 更新日志
 
-[23/03/21] 我们的论文 "[LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://arxiv.org/abs/2403.13372)" 可在 arXiv 上查看！
+[24/03/21] 我们的论文 "[LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://arxiv.org/abs/2403.13372)" 可在 arXiv 上查看！
 
 [24/03/20] 我们支持了能在 2x24GB GPU 上微调 70B 模型的 **FSDP+QLoRA**。详细用法请参照 `examples/fsdp_qlora`。