Axolotl
by OpenAccess AI Collective · open-source · Last verified 2026-03-17
Streamlined tool for fine-tuning LLMs with support for multiple techniques including LoRA, QLoRA, and full fine-tuning. Provides YAML-based configuration for reproducible training runs with multi-GPU support.
https://github.com/OpenAccess-AI-Collective/axolotl ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- lora-fine-tuning, qlora, full-fine-tuning, multi-gpu, yaml-configuration
- Integrations
- hugging-face, weights-and-biases
- Use Cases
- model-fine-tuning, custom-model-training, research, domain-adaptation
- API Available
- No
- SDK Languages
- python
- Deployment
- self-hosted, docker
- Rate Limits
- N/A (self-hosted)
- Data Privacy
- Self-hosted, user-managed; training data stays local
- Tags
- fine-tuning, lora, qlora, training, open-source
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
56.6Adoption
62
Quality
84
Freshness
85
Citations
60
Engagement
0