Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026
Model library → MiniMax M2.7 → MiniMax M2.7 230B-A10B
230B total / 10B active across 256 experts. Needs roughly 130 GB at Q4 — a multi-GPU workstation or a rented node. The headline constraint is legal rather than technical: the weights are freely downloadable but the license is non-commercial, so it is not a drop-in for business use the way an Apache or MIT model would be. Context window is recorded as null here: published figures disagree (200K in most sources, 192K in the vLLM recipe) and neither could be confirmed against a primary page from this environment.
MiniMax M2.7 230B-A10B needs about 140 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.
| Parameters | 230 Billion (10B active) |
| Context window | Unverified — sources disagree (192K–200K) |
| Architecture | Mixture-of-Experts (256 experts, 62 layers, RoPE) |
| Provider | MiniMax |
| Licence | Non-Commercial (commercial use requires separate agreement) |
| Specified at | Q4_K_M |
| System RAM | 256 GB |
| Record updated | 2026-08-15 |
CC-BY-NC-4.0 — research / non-commercial only. Research / non-commercial only — this licence does NOT permit shipping a commercial product.
Modelled on a reference NVIDIA RTX 4090 (24 GB), with no KV cache (this record has no published architecture). Speed figures are ESTIMATES from the memory-bandwidth roofline described on the methodology page, not benchmarks we ran — rows marked measured come from published or reader-submitted runs. VRAM here includes the KV cache, so it reads higher than the headline figure above, which does not.
| Quant | Weights | VRAM needed | Est. speed | Fit on 24 GB |
|---|---|---|---|---|
| Q2_K | 75.6 GB | 76.4 GB | — | Won't fit |
| Q3_K_M | 98.0 GB | 98.8 GB | — | Won't fit |
| Q4_K_M | 138.9 GB | 139.7 GB | — | Won't fit |
| Q5_K_M | 163.0 GB | 163.8 GB | — | Won't fit |
| Q6_K | 188.6 GB | 189.4 GB | — | Won't fit |
| Q8_0 | 244.4 GB | 245.2 GB | — | Won't fit |
| F16 | 460.0 GB | 460.8 GB | — | Won't fit |
Want the memory numbers alone, at every quantization level and your own context length? Use the MiniMax M2.7 230B-A10B VRAM calculator.
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The cheapest catalogued GPU that runs MiniMax M2.7 230B-A10B is the Apple M2 Ultra (192 GB).
Install Ollama, then run:
ollama run minimax-m2-7Weights on Hugging Face: MiniMaxAI/MiniMax-M2.7.
Best for: agentic tasks, reasoning, research, non commercial.
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