From 11163fff587810d6feec9c3b1d7013fb8a8777a0 Mon Sep 17 00:00:00 2001
From: Furkan Akkurt <71407287+furkanakkurt1335@users.noreply.github.com>
Date: Tue, 12 Mar 2024 19:32:50 +0300
Subject: [PATCH] Fix typo ; Update quantization.md (#29615)

Update quantization.md
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 docs/source/en/main_classes/quantization.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/en/main_classes/quantization.md b/docs/source/en/main_classes/quantization.md
index 297dd1a495..4ae58112ff 100644
--- a/docs/source/en/main_classes/quantization.md
+++ b/docs/source/en/main_classes/quantization.md
@@ -16,7 +16,7 @@ rendered properly in your Markdown viewer.
 
 # Quantization
 
-Quantization techniques reduces memory and computational costs by representing weights and activations with lower-precision data types like 8-bit integers (int8). This enables loading larger models you normally wouldn't be able to fit into memory, and speeding up inference. Transformers supports the AWQ and GPTQ quantization algorithms and it supports 8-bit and 4-bit quantization with bitsandbytes.
+Quantization techniques reduce memory and computational costs by representing weights and activations with lower-precision data types like 8-bit integers (int8). This enables loading larger models you normally wouldn't be able to fit into memory, and speeding up inference. Transformers supports the AWQ and GPTQ quantization algorithms and it supports 8-bit and 4-bit quantization with bitsandbytes.
 
 Quantization techniques that aren't supported in Transformers can be added with the [`HfQuantizer`] class.