From 78cf5eec4d5b630826c576f59404945361c750d2 Mon Sep 17 00:00:00 2001 From: Maxime Labonne <81252890+mlabonne@users.noreply.github.com> Date: Sat, 27 Jan 2024 22:21:14 +0000 Subject: [PATCH] add Axolotl colab notebook --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 55bbf86..b4fcfe3 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ A list of notebooks and articles related to large language models. | Notebook | Description | Article | Notebook | |---------------------------------------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------| | Fine-tune Llama 2 in Google Colab | Step-by-step guide to fine-tune your first Llama 2 model. | [Article](https://mlabonne.github.io/blog/posts/Fine_Tune_Your_Own_Llama_2_Model_in_a_Colab_Notebook.html) | Open In Colab | -| Fine-tune LLMs with Axolotl | End-to-end guide to the state-of-the-art tool for fine-tuning. | [Article](https://mlabonne.github.io/blog/posts/A_Beginners_Guide_to_LLM_Finetuning.html) | W.I.P. | +| Fine-tune LLMs with Axolotl | End-to-end guide to the state-of-the-art tool for fine-tuning. | [Article](https://mlabonne.github.io/blog/posts/A_Beginners_Guide_to_LLM_Finetuning.html) | Open In Colab | | Fine-tune Mistral-7b with DPO | Boost the performance of supervised fine-tuned models with DPO. | [Article](https://medium.com/towards-data-science/fine-tune-a-mistral-7b-model-with-direct-preference-optimization-708042745aac) | Open In Colab | ### Quantization