From b4a19cb2f1925384e04b05ca0297d7ab3a88dcc0 Mon Sep 17 00:00:00 2001
From: yiranyyu <2606375857@qq.com>
Date: Wed, 14 Aug 2024 16:15:32 +0800
Subject: [PATCH] update readme

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 1e48533..dcdc0dc 100644
--- a/README.md
+++ b/README.md
@@ -1614,7 +1614,7 @@ We support simple fine-tuning with Hugging Face for MiniCPM-V 2.0 and MiniCPM-Ll
 
 We now support MiniCPM-V series fine-tuning with the SWIFT framework. SWIFT supports training, inference, evaluation and deployment of nearly 200 LLMs and MLLMs . It supports the lightweight training solutions provided by PEFT and a complete Adapters Library including techniques such as NEFTune, LoRA+ and LLaMA-PRO.
 
-Best Practices：[MiniCPM-V 1.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v最佳实践.md), [MiniCPM-V 2.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v-2最佳实践.md)
+Best Practices：[MiniCPM-V 1.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v最佳实践.md), [MiniCPM-V 2.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v-2最佳实践.md), [MiniCPM-V 2.6](https://github.com/modelscope/ms-swift/issues/1613).
 
 ## FAQs
 Click here to view the [FAQs](./docs/faqs.md)