Axolotl
axolotl.ai
Open-source tool for fine-tuning LLMs.
Quick Information
- Category:
- MLOps & Infrastructure
- Pricing:
- Free
- Platforms:
- Linux, Python, Cloud
- Free Plan:
- Yes
- API Available:
- No
- Last Verified:
- October 2026
What Is Axolotl?
Axolotl is an open-source framework for fine-tuning large language models, configured through YAML files. It is free to use, and the official repository is axolotl-ai-cloud/axolotl. Sources disagree on the latest version. The GitHub releases page marks v0.20.0 as latest with notes dated September 30, 2026, highlighting GGUF export, native NVFP4 LoRA and expert parallelism without DeepEP, while PyPI lists 0.21.0 as released on October 16, 2026, adding MixLoRA, Dynamic Fine-Tuning and support for newer models. Older pages cite 0.18.0 and 0.19.0, so check the repository for the current number. One directory lists the licence as Apache-2.0, but I did not see a primary licence statement, so check the LICENSE file.
Axolotl sits alongside other fine-tuning tools in a 2026 comparison of Axolotl, Unsloth, TRL and LLaMA-Factory. It is generally positioned as the flexible, config-driven option for multi-GPU and larger-scale training, whereas Unsloth emphasises speed and memory efficiency on a single GPU, but that comparison is editorial and I only saw its headline. Your costs are the GPUs you run it on, and you can rent those from providers such as RunPod or Lambda. Several GitHub results are forks and mirrors, which are not the official project.
Axolotl suits ML engineers who want reproducible, config-driven fine-tuning of open models without writing a training loop. Compare Unsloth, OpenPipe and Hugging Face. Browse the MLOps & Infrastructure tools directory for more.
What Can You Use Axolotl For?
LLM fine-tuning
YAML configs.
Multi-GPU training
Larger runs.
Axolotl Features
- YAML-configured training — Reproducible.
- GGUF export and NVFP4 LoRA — In 0.20.
- MixLoRA — In 0.21.0.
Who Is Axolotl For?
- ML engineers — Config-driven.
- Open-model builders — Many architectures.
Axolotl Pros & Limitations
What We Like
- Free and open source
- Fast release cadence
- Flexible configs
Limitations
- Needs GPU knowledge
- Version numbers vary by source
- Licence not confirmed here
Axolotl Pricing
| Plan | Price | Main Features |
|---|---|---|
| Open source | Free (listed as Apache-2.0) | You pay for GPUs |
Pricing was last verified October 2026. Check the official website for the latest pricing.
AI Listing Jungle Ranking
- Global Rank:
- #1128
- Overall Score:
- 27.3/100
- Monthly Users:
- –
- Rank Change:
- ▲ 435
This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by Axolotl or its company. How Our Rankings Work
Frequently Asked Questions
Is Axolotl free?
Yes.
Latest version?
0.20.0 on GitHub or 0.21.0 on PyPI.
Which licence?
Listed as Apache-2.0; check the repo.
Is the repo official?
axolotl-ai-cloud/axolotl.
Our Take
A strong, flexible fine-tuning framework.
Expect to manage GPUs yourself.
Axolotl Alternatives
Ready to try Axolotl?
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