Training & fine-tuning
Unsloth
Combines local model interaction, efficient fine-tuning and deployment exports in one project.
Overview
Research summary
Unsloth combines a Python training toolkit with a local desktop interface for running and adapting language, diffusion, embedding and audio models. Its documented training workflows include supervised fine-tuning, LoRA, QLoRA, full parameter training and reinforcement learning. Developers can prepare datasets, experiment with models and export results into deployment formats such as GGUF. The project also exposes an OpenAI-compatible serving API and integrations for local coding agents. Hardware and model support depend on the selected backend and workflow.
Repository summary
- Stars
- 77,122
- Open issues
- Unavailable
- Last push
- 2026-10-02
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for Unsloth.
Implementation details
Python implementation with an interactive application or platform integration
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 77,122
- Open issues
- Unavailable
- Last push
- 2026-10-02
- 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 7
- https://unsloth.ai Project page
- https://github.com/unslothai/unsloth Linked repository · Research reference
- https://unsloth.ai/docs Documentation · Commercial offering evidence
- https://api.github.com/repos/unslothai/unsloth Research reference
- https://github.com/unslothai/unsloth/blob/main/README.md Research reference
- https://github.com/unslothai/unsloth/blob/main/LICENSE Research reference
- https://www.unsloth.ai/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/unslothai/unsloth/discussionsOfficial
Link details for GitHub Discussions
- Last checked