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Fine-tuningFreeOpen Source
AXOLOTL
Fine-tune any open-source LLM without writing boilerplate
Apache-2.0
ABOUT
Fine-tuning an LLM from scratch requires wiring together HuggingFace Transformers, PEFT, bitsandbytes, DeepSpeed, and a custom training loop — dozens of interdependent configs that break constantly. Axolotl wraps all of this in a single YAML config. Define your dataset, model, LoRA rank, and batch size — Axolotl handles the rest. Supports QLoRA for fitting large models on a single consumer GPU.
INTEGRATION GUIDE
1. Fine-tune Llama 3 on your company's support tickets to create a domain-specific assistant
2. Run QLoRA fine-tuning on a 70B model on a single A100 GPU using 4-bit quantization
3. Create a code-completion model fine-tuned on your internal codebase and style guidelines
4. Fine-tune a small model to replace GPT-4 for a specific task at 1/100th the inference cost
5. Build a medical Q&A model trained on clinical notes without leaking data to external APIs
TAGS
pythonllamamistralqloraloratraininggpuhuggingface