From 1f36bd4cf24d221e61cf2609b7c6170e955222bf Mon Sep 17 00:00:00 2001 From: Titus <9048635+Titus-von-Koeller@users.noreply.github.com> Date: Mon, 26 Feb 2024 16:12:46 +0100 Subject: [PATCH] docs: fix link text --- docs/source/integrations.mdx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/integrations.mdx b/docs/source/integrations.mdx index 0e37765c5..bcba6e5e5 100644 --- a/docs/source/integrations.mdx +++ b/docs/source/integrations.mdx @@ -2,7 +2,7 @@ With Transformers it's very easy to load any model in 4 or 8-bit, quantizing them on the fly with bitsandbytes primitives. -Please review the [bitsandbytes section in the Accelerate docs](https://huggingface.co/docs/transformers/v4.37.2/en/quantization#bitsandbytes). +Please review the [bitsandbytes section in the Transformers docs](https://huggingface.co/docs/transformers/v4.37.2/en/quantization#bitsandbytes). Details about the BitsAndBytesConfig can be found [here](https://huggingface.co/docs/transformers/v4.37.2/en/main_classes/quantization#transformers.BitsAndBytesConfig). @@ -21,7 +21,7 @@ quantization_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dty # PEFT With `PEFT`, you can use QLoRA out of the box with `LoraConfig` and a 4-bit base model. -Please review the [bitsandbytes section in the Accelerate docs](https://huggingface.co/docs/peft/developer_guides/quantization#quantize-a-model). +Please review the [bitsandbytes section in the PEFT docs](https://huggingface.co/docs/peft/developer_guides/quantization#quantize-a-model). # Accelerate