AesSedai/

MiniMax-M3-GGUF

This repo contains specialized MoE-quants for MiniMaxAI/MiniMax-M3. The idea being that given the huge size of the FFN tensors compared to the rest of the tensors in the model, it should be possible to achieve a better quality while keeping the overall size of the entire model smaller compared to a similar naive quantization. To that end, the quantization type default is kept in high quality and the FFN UP + FFN GATE tensors are quanted down along with the FFN DOWN tensors.

Additionally, I've provided a J-Space lens in the lens/ folder, trained on ~128 text prompts.