mlabonne

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Maxime Labonne mlabonne

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Head of Post-Training

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mlabonne/README.md

🐦 Follow me on X • 🤗 Hugging Face • 💻 Blog • 📙 Hands-on GNN

Hi, I'm a Machine Learning Scientist, Author, Blogger, and LLM Developer.

💼 Projects

The LLM Course: A popular curated list of resources to get into LLMs (>32k ⭐).
Hands-on GNNs: My book about graph neural networks published by Packt (all the code is open source).
LLM Datasets: Curated list of high-quality datasets for LLM fine-tuning.
LLM Tools: Automate LLM pipelines with Colab notebooks like LLM AutoEval, LazyMergekit, LazyAxolotl, and AutoQuant.

🤗 Models

NeuralDaredevil-8B: Uncensored models with the highest MMLU score in the 8B category.
AlphaMonarch-7B: Top performer in terms of reasoning + conversational abilities on a variety of benchmarks. [Demo]
NeuralBeagle14-7B: The most powerful 7B model (rank 10 on the entire Open LLM Leaderboard). [Demo]
Phixtral: Novel Mixture of Experts architecture with phi-2 models. [Demo]
Beyonder-4x7B-v3: Mixture of Experts with four excellent fine-tuned Mistral-7b models. [Demo]
NeuralHermes: A DPO fine-tuned version of OpenHermes (extremely cost-efficient). [Demo]

Pinned Loading

llm-course llm-course Public

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

Jupyter Notebook 39.4k 4.2k
llm-datasets llm-datasets Public

High-quality datasets, tools, and concepts for LLM fine-tuning.

2k 178
llm-autoeval llm-autoeval Public

Automatically evaluate your LLMs in Google Colab

Python 562 93
PacktPublishing/LLM-Engineers-Handbook PacktPublishing/LLM-Engineers-Handbook Public

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Python 1.8k 281
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python Public

Hands-On Graph Neural Networks Using Python, published by Packt

Jupyter Notebook 757 201