MiniMax M3.1 Flash, on more of your hardware.
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MiniMax M3.1 Flash, on more of your hardware. Quantizing a 428B model opens up more ways to run it locally. Lower-bit weights reduce the memory needed to load the model and the weight data moved during decoding. Making those savings useful takes careful calibration, efficient low-bit kernels, and hardware-aware placement of experts across GPU and system RAM. Thank you to the builders doing that work: • @UnslothAI @danielhanchen — 2-bit Dynamic GGUF weights at 143.9 GB, with calibration and fidelity testing across coding, tool use and other workloads. • @ViC305 — SAGE-EXL3, token-level fidel
Posted by MiniMax (official) (129.3k followers) 3 h ago · 257 likes · 14.2k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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