Config-driven fine-tuning for open language models
Axolotl wraps training tools into a YAML-driven workflow for fine-tuning language models. You specify the base model, dataset format and method, such as LoRA, and run one command.
It supports multi-GPU training and many model families, making it a common choice for community fine-tunes. Documentation and examples help newcomers.
It is best for people who want repeatable experiments without writing training code from scratch.
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