From e861954d43d23f03f2857b0556916a8431766d5d Mon Sep 17 00:00:00 2001 From: Salman Mohammadi Date: Sun, 3 Nov 2024 20:43:54 +0000 Subject: [PATCH] QAT tutorial nit (#1945) --- docs/source/tutorials/qat_finetune.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/tutorials/qat_finetune.rst b/docs/source/tutorials/qat_finetune.rst index 0c259bd731..6f83bb6c02 100644 --- a/docs/source/tutorials/qat_finetune.rst +++ b/docs/source/tutorials/qat_finetune.rst @@ -136,7 +136,7 @@ used for inference or generation. QAT finetuning recipe in torchtune ---------------------------------- -Putting it all together, we can now fine-tune a model using torchtune’s `QAT recipe `. +Putting it all together, we can now fine-tune a model using torchtune’s :ref:`QAT recipe`. Make sure that you have first downloaded the Llama3 weights and tokenizer by following :ref:`these instructions`. In this tutorial, we use the following settings to demonstrate QAT’s effectiveness in recovering