London, United Kingdom

Maxime Labonne

Elite
@mlabonne

Head of Post-Training @ Liquid AI

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

81k

llm-datasets. Curated list of datasets and tools for post-training.

4.7k

llm-autoeval. Automatically evaluate your LLMs in Google Colab

691

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

453

linear-programming-course. Hands-on course about linear programming and mathematical optimization.

113

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

104

mlabonne.

68

how-to-data-science. Scripts, notebooks, and articles about data science in general.

55

chessllm. Jupyter Notebook

46

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

31

tinytuner. 🐜🔧 A minimalistic tool to fine-tune your LLMs

19

TransformerLens. A library for mechanistic interpretability of GPT-style language models

9

mergekit. Tools for merging pretrained large language models.

9

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

5

orpo. Official repository for ORPO

3

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

3

liquid-s4. Liquid Structural State-Space Models

3

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

2

gorilla-custom. Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

1
19
Apply