From 6b70ec9a512b4606da9381d0b361cb8958edba6e Mon Sep 17 00:00:00 2001
From: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Date: Fri, 20 Dec 2024 07:37:38 -0800
Subject: [PATCH] Update overview.md

---
 docs/source/en/quantization/overview.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/source/en/quantization/overview.md b/docs/source/en/quantization/overview.md
index 3eef5238f1ce..794098e210a6 100644
--- a/docs/source/en/quantization/overview.md
+++ b/docs/source/en/quantization/overview.md
@@ -33,8 +33,8 @@ If you are new to the quantization field, we recommend you to check out these be
 ## When to use what?
 
 Diffusers currently supports the following quantization methods.
-- [BitsandBytes](./bitsandbytes.md)
-- [TorchAO](./torchao.md)
-- [GGUF](./gguf.md)
+- [BitsandBytes](./bitsandbytes)
+- [TorchAO](./torchao)
+- [GGUF](./gguf)
 
 [This resource](https://huggingface.co/docs/transformers/main/en/quantization/overview#when-to-use-what) provides a good overview of the pros and cons of different quantization techniques.