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We make fine-tuning

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Scale and customize LLMs across different AI models using our *free* open-source solutions

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Supported LLMs

HuggingFace
Cerebras
XGen
Qwen
RWKV
Gemma
MS Phi
Mistral AI
llama
Eleuther AI
Falcon
MPT

Getting Started with our Friendly Open Source Community is Fast and Fun

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Join the Network: Learn from the growing Axolotl community – with over 170 contributors and 500+ active Discord members, we have answers to every kind of question

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No Hardware Needed: Start training models right away with pre-existing configurations (in YAML) in the OSS repo without having to tweak any settings

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Ask the Experts: Axolotl users integrate with Runpod, Latitude, Modal, and Jarvislabs with recent product updates allowing GRPO support, direct to Modal pushes and more...

LLM Best Practices and Speed

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From FSDP+qLoRA fixes, LoRA+, Multipack, PEFT/LoRA, you can rely on Axolotl for quick integration of high performance fine-tuning techniques

Flash

Leverage the latest technologies to quickly and efficiently fine-tune models – sometimes 3-5x faster than elsewhere with new product updates every few weeks

Nodes

We support a wide range of model architectures by Huggingface transformers as well as the ability to compose techniques quickly with new model structures

AI platforms, researchers, and enterprises all trust Axolotl for fine-tuning at scale

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CLI

You can run Axolotl anywhere – in your own cloud, with your own Docker and k8s setup, whatever you need. Enterprises use Axolotl on their own terms with massive results

Data nodes

BYOD: Bring your own data – Your data doesn’t have to be uploaded to the internet ex. OpenAI for robust compliance and data governance. Axolotl allows full control

Tech stack

Trust: Axolotl is used by research companies, model builders, Gen AI platforms, and practitioners like Teknium/Nous Research, Modal, Replicate, OpenPipe

Open source

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Axolotl is an Open Source tool making fine-tuning AI models faster without sacrificing functionality or scale.

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