Maxime Labonne

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Curated list of datasets and tools for post-training.

Automatically evaluate your LLMs in Google Colab

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

Hands-on course about linear programming and mathematical optimization.

https://mlabonne.github.io/blog/

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Scripts, notebooks, and articles about data science in general.

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A list of graph datasets for machine learning projects including Graph Neural Networks.

🐜🔧 A minimalistic tool to fine-tune your LLMs

100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.

A library for mechanistic interpretability of GPT-style language models

Tools for merging pretrained large language models.

This is our own implementation of 'Layer Selective Rank Reduction'

Official repository for ORPO

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Liquid Structural State-Space Models

A framework for few-shot evaluation of autoregressive language models.

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Public repo for HF blog posts