AI product Open source

Axolotl

Axolotl is a free, open-source framework for post-training and fine-tuning large language models. It uses YAML configuration to define workflows for preprocessing, training, evaluation, quantization, inference, preference tuning, reinforcement learning, and reward modeling. The project is hosted by axolotl-ai-cloud and documents support for distributed training, mixture-of-experts models, multimodal models, and multiple fine-tuning methods.

View repository Visit site Mentioned in 2 videos ↓

What Axolotl is used for

2 uses taken from transcripts — each links to the moment in the video.

  • A free, open-source framework for post-training and fine-tuning large language models. A YAML configuration covers preprocessing, training, evaluation, quantization, inference, preference tuning, reinforcement learning, and reward modeling.

  • An open-source tool that streamlines fine-tuning and post-training of language models. It uses YAML configuration and supports full fine-tuning, LoRA, quantization, DPO, and distributed training from one GPU to many nodes.

Videos mentioning Axolotl

2 in the library.