Open-source framework for fine-tuning large language models
A YAML-driven framework that unifies dataset preprocessing, training, evaluation, quantization, inference, preference tuning, reinforcement learning, and reward modeling.
From ManuAGI - AutoGPT Tutorials — Top Open-Source GitHub Projects : Jellyfin, Harper, OpenCut, Axolotl, Tududi & Amicro #278 at 07:13
Problem: It replaces scattered fine-tuning scripts with one configuration-driven workflow that scales from one GPU to multiple nodes.
For: Developers fine-tuning text or multimodal language models from the Hugging Face Hub.
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