Axolotl

Axolotl is an open-source framework that manages fine-tuning and training for large language and multimodal models.

Axolotl is a tool designed to handle post-training and fine-tuning for large language models and multimodal models. It supports various training methods such as full fine-tuning, LoRA, QLoRA, DPO, GRPO, and Quantization Aware Training. Users configure the entire pipeline using a single YAML file that covers dataset preprocessing, training, evaluation, and inference. The framework integrates with models like LLaMA, Mistral, Qwen, and vision-language models. It is built for researchers and developers who need distributed multi-GPU and multi-node training capabilities.

Axolotl at a glance

Best for: Software engineer, Researcher
Runs on: Web, Linux, API, self-hosted, open source
Pricing: Free and open source under the Apache 2.0 License.
Released: April 2023
Category: AI coding tool
Website: docs.axolotl.ai

Key features

Fine-tune large language models and multimodal models
Configure training pipelines with YAML files
Execute full fine-tuning, LoRA, QLoRA, and RL methods
Support distributed multi-GPU and multi-node training
Load datasets from local, HuggingFace, and cloud storage
Integrate Flash Attention and performance optimizations

Use it for

Fine-tune open-source large language models
Train multimodal vision-language models
Run preference tuning and reinforcement learning
Execute quantized model training and LoRA adapters

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