From 10d953447e53247ff19811bd26bf287ddb345e70 Mon Sep 17 00:00:00 2001 From: Maxime Labonne <81252890+mlabonne@users.noreply.github.com> Date: Fri, 7 Jul 2023 23:14:30 +0100 Subject: [PATCH] Update README.md --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index a721b35..89f4088 100644 --- a/README.md +++ b/README.md @@ -7,13 +7,12 @@ A list of notebooks and articles related to large language models. | Notebook | Description | Article | Notebook | |---------------------------------------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------| | Decoding Strategies in Large Language Models | A guide to text generation from beam search to nucleus sampling | [Article](https://mlabonne.github.io/blog/posts/2022-06-07-Decoding_strategies.html) | Open In Colab | +| Introduction to Weight Quantization | Large language model optimization using 8-bit quantization. | [Article](https://mlabonne.github.io/blog/posts/Introduction_to_Weight_Quantization.html) | Open In Colab | | Visualizing GPT-2's Loss Landscape | 3D plot of the loss landscape based on weight pertubations. | [Tweet](https://twitter.com/maximelabonne/status/1667618081844219904) | Open In Colab | | Improve ChatGPT with Knowledge Graphs | Augment ChatGPT's answers with knowledge graphs. | [Article](https://mlabonne.github.io/blog/posts/Article_Improve_ChatGPT_with_Knowledge_Graphs.html) | Open In Colab | | Create a 4-bit GPT-2 model using AutoGPTQ | Quick notebook to quantize LLMs and upload them to the HF Hub. | [Tweet](https://twitter.com/maximelabonne/status/1672205530717122561) | Open In Colab | - - ## Roadmap A step-by-step guide on how to get into large language models with learning resources.