--- license: other license_name: minimax-community license_link: LICENSE base_model: - MiniMaxAI/MiniMax-M3 ---
The Kaitchup -- AI on a Budget
Subscribe and Support
GGUF models made with the method ("Mixture of Quantizations") proposed by [Waleed Ahmad](https://huggingface.co/w-ahmad). I also used Unsloth [M3's imatrix](https://huggingface.co/unsloth/MiniMax-M3-GGUF) for calibration. More details and evaluation here: [MiniMax M3 GGUF Quantization: From 852 GB to ~150 GB Without Breaking Accuracy](https://kaitchup.substack.com/p/minimax-m3-gguf-quantization-from) ![image](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/Wx2xnH4miXHQDZ8e4Avvw.png) Avoid using the MoQ-2.5. * Compute Sponsorship: [Verda](https://verda.com/?utm_source=kaitchup.substack.com&utm_medium=referral&utm_content=m3quant). I used 2 B300s for quantization and evaluation.