mistral-finetune
The mistral-finetune project provides an efficient platform for fine-tuning Mistral models by leveraging the LoRA training framework. This method focuses on memory conservation by locking most weights and adjusting only a small fraction. Tailored for multi-GPU environments, it also accommodates single GPU use for smaller models, like the 7B. Recently, it includes support for models such as Mistral Large v2 and Mistral Nemo, demanding more memory for larger tasks but enhancing finetuning capabilities. It serves as a straightforward entry point for finetuning Mistral models, emphasizing specific data formatting and installation instructions, essential for advanced training across various systems.
