Project Title

axolotl — A Free and Open Source LLM Fine-tuning Framework for Advanced AI Applications

Overview

Axolotl is a free and open-source framework designed for fine-tuning large language models (LLMs). It stands out for its support of advanced parallelism techniques, a variety of models, and mixed precision training, making it a robust choice for developers working on AI applications that require high performance and scalability.

Key Features

Advanced Parallelism Support: ND Parallelism, Compose Context Parallelism, Tensor Parallelism, and Fully Sharded Data Parallelism.
Extensive Model Support: Integration with models like GPT-OSS, Gemma 3n, LFM2, and AFM.
Mixed Precision Training: FP8 finetuning capabilities with torchao.
Multi-GPU Training: TiledMLP support for single-GPU to multi-GPU training with DDP, DeepSpeed, and FSDP.

Use Cases

Researchers and developers fine-tuning LLMs for specific applications in natural language processing.
Enterprises requiring high-performance AI solutions for large-scale language tasks.
Academia and institutions conducting research on advanced AI parallelism and model training techniques.

Advantages

Open-source and community-driven, allowing for continuous improvement and customization.
Supports a wide range of models and training techniques, offering flexibility for various AI applications.
Enables efficient use of computational resources through advanced parallelism and mixed precision training.

Limitations / Considerations

The project's complexity may require a steep learning curve for new users.
As with any cutting-edge technology, there may be limitations in terms of hardware compatibility and support.
The project's performance may be highly dependent on the specific hardware and software environment.

Hugging Face Transformers: A library of pre-trained models for NLP, differing in its focus on model availability rather than fine-tuning frameworks.
DeepSpeed: An open-source deep learning optimization library, which Axolotl integrates for multi-GPU training, but focuses more on optimization techniques.
TensorFlow: A comprehensive ecosystem for machine learning, offering its own set of tools for model training and deployment, differing in its broader scope beyond LLM fine-tuning.

Basic Information

GitHub: https://github.com/axolotl-ai-cloud/axolotl
Stars: 10,455
License: Unknown
Last Commit: 2025-09-20

📊 Project Information

Project Name: axolotl
GitHub URL: https://github.com/axolotl-ai-cloud/axolotl
Programming Language: Python
⭐ Stars: 10,455
🍴 Forks: 1,145
📅 Created: 2023-04-14
🔄 Last Updated: 2025-09-20

🏷️ Project Topics

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📚 Documentation

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axolotl

Project Description