Peaked at #3 Now #3
MiniMax M3.1 Flash runs locally
Unsloth enables local running of MiniMax-M3.1-Flash with 2-bit GGUF retaining 91.5% top-1 accuracy, 45% smaller, 150GB RAM.
Key points
- UnslothAI says MiniMax-M3.1-Flash can now run locally, with a 2-bit GGUF that retains 91.5% top 1 accuracy while being 45% smaller, running on 150GB RAM.
- UnslothAI calls MiniMax-M3.1-Flash the strongest open model for its size and among the best overall, and links a GGUF and a guide.
- MiniMax_AI says Space Bunny, which topped global leaderboards with 200T+ tokens, was an earlier version of M3.1 Flash, and that M3.1 Flash reaches Automation-Bench 62%, ALE 30% and DeepSWE 74%.
- MiniMax_AI says the latest community contributions include 8-step reference-conditioned video + audio, 4-step distillation, sparse attention, and reference-token compression, plus serving and workflow integrations across GPU servers, TPUs, and Apple Silicon.
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Original post
MiniMax-M3.1-Flash can now run locally!
We made 2-bit GGUF retain 91.5% top 1 accuracy while being 45% smaller. Run on 150GB RAM.
MiniMax-M3.1-Flash is the strongest open model for its size & among the best overall.
GGUF: https://t.co/A8Xp9uqpq1
Guide: https://t.co/gW5gp25niu https://t.co/txl6ZPRTjsQuoting @MiniMax_AI: MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%)
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