Training & fine-tuning
Axolotl
Reuses one configuration across data preparation, model adaptation, evaluation and inference.
Overview
Research summary
Axolotl organizes the model adaptation lifecycle around a reusable YAML configuration covering dataset preparation, training, evaluation, quantization and inference. It supports full fine-tuning and parameter-efficient approaches such as LoRA and QLoRA, alongside preference training, reinforcement learning and reward modeling. Distributed backends and memory optimizations let the same framework address different hardware budgets. Its multimodal support includes vision-language and audio workflows, with supported architectures and individual techniques documented separately.
Repository summary
- Stars
- 12,513
- Open issues
- Unavailable
- Last push
- 2026-10-01
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for Axolotl.
Implementation details
Python library and supporting tools
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 12,513
- Open issues
- Unavailable
- Last push
- 2026-10-01
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 6
- https://axolotl.ai Project page
- https://github.com/axolotl-ai-cloud/axolotl Linked repository · Research reference
- https://docs.axolotl.ai Documentation
- https://api.github.com/repos/axolotl-ai-cloud/axolotl Research reference
- https://github.com/axolotl-ai-cloud/axolotl/blob/main/README.md Research reference
- https://github.com/axolotl-ai-cloud/axolotl/blob/main/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/axolotl-ai-cloud/axolotl/discussionsOfficial
Link details for GitHub Discussions
- Last checked