Is Axolotl — Streamlined LLM Fine-Tuning free to use?

Yes. Axolotl — Streamlined LLM Fine-Tuning is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Axolotl — Streamlined LLM Fine-Tuning?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

ScriptsApr 1, 2026·2 min read

Axolotl — Streamlined LLM Fine-Tuning

Name: Axolotl — Streamlined LLM Fine-Tuning
Author: TokRepo精选

Axolotl streamlines post-training and fine-tuning for LLMs. 11.6K+ GitHub stars. LoRA, QLoRA, DPO, GRPO, multimodal training. Single YAML config. Flash Attention, multi-GPU. Apache 2.0.

TokRepo精选 · Community

Quick Use

Use it first, then decide how deep to go

This block should tell both the user and the agent what to copy, install, and apply first.

# Install
pip3 install axolotl[flash-attn,deepspeed]

# Fetch example configs
axolotl fetch examples

# Fine-tune Llama 3 with LoRA
axolotl train examples/llama-3/lora-1b.yml

# Or use Docker
docker run --gpus all axolotlai/axolotl train examples/llama-3/lora-1b.yml

Intro

Axolotl is a free, open-source tool for streamlined post-training and fine-tuning of large language models. With 11,600+ GitHub stars and Apache 2.0 license, it supports full fine-tuning, LoRA, QLoRA, GPTQ, DPO, GRPO, and reward modeling across GPT-OSS, LLaMA, Mistral, Mixtral, and Hugging Face models. Axolotl handles multimodal training (vision-language and audio models), Flash Attention, multipacking, sequence parallelism, and multi-GPU/multi-node training — all configured through a single YAML file.

Best for: ML engineers who want simple, configurable LLM fine-tuning without writing training loops Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf Requirements: NVIDIA Ampere+ or AMD GPU, Python 3.11+

Key Features

Single YAML config: Entire pipeline from data preprocessing to inference
Training methods: Full fine-tune, LoRA, QLoRA, GPTQ, QAT, DPO, GRPO
Multimodal: Fine-tune vision-language (Qwen2-VL, LLaVA) and audio models
Performance: Flash Attention, multipacking, sequence parallelism
Multi-GPU/node: Distributed training with DeepSpeed and FSDP
50+ model architectures: LLaMA, Mistral, Mixtral, Pythia, and more

FAQ

Q: What is Axolotl? A: Axolotl is an LLM fine-tuning tool with 11.6K+ stars. Single YAML config for LoRA, QLoRA, DPO, GRPO, multimodal training. Multi-GPU support. Apache 2.0.

Q: How do I install Axolotl? A: Run pip3 install axolotl[flash-attn,deepspeed]. Then axolotl train config.yml to start fine-tuning.

🙏

Source & Thanks

Created by Axolotl AI. Licensed under Apache 2.0. axolotl-ai-cloud/axolotl — 11,600+ GitHub stars

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Axolotl — Streamlined LLM Fine-Tuning

Use it first, then decide how deep to go

Key Features

FAQ

Source & Thanks

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