From 90bb5b6f373bb897c89988d4a5beba936bed93c4 Mon Sep 17 00:00:00 2001
From: Jingsong-Yan <75230787+Jingsong-Yan@users.noreply.github.com>
Date: Mon, 26 Jun 2023 19:45:41 +0800
Subject: [PATCH] Update README.md with baichuan-7b-rtx3090
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在 Changelog 中新增 baichuan-7b-rtx3090 分支的描述
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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 34b7021f..c6b0f148 100644
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+++ b/README.md
@@ -11,7 +11,7 @@
 
 [23/06/22] Now we align the [demo API](src/api_demo.py) with the [OpenAI's](https://platform.openai.com/docs/api-reference/chat) format where you can insert the fine-tuned model in arbitrary ChatGPT-based applications.
 
-[23/06/15] Now we support training the baichuan-7B model in this repo. Try `--model_name_or_path baichuan-inc/baichuan-7B` and `--lora_target W_pack` arguments to use the baichuan-7B model.
+[23/06/15] Now we support training the baichuan-7B model in this repo. Try `--model_name_or_path baichuan-inc/baichuan-7B` and `--lora_target W_pack` arguments to use the baichuan-7B model. If you want to train with RTX3090, use `git checkout baichuan-7b-rtx3090` to switch to the `baichuan-7b-rtx3090` branch and try the `--baichuan_rtx_gpu true` argument. (Other RTX series GPUs can also be tried)
 
 [23/06/03] Now we support quantized training and inference (aka [QLoRA](https://github.com/artidoro/qlora)). Try `--quantization_bit 4/8` argument to work with quantized model. (experimental feature)