MiniMax M2.7 — lokalny model AI od MiniMax
Autor: Jakub Rusinowski · Ostatnia aktualizacja:
MiniMax's March 2026 agentic MoE: 230B total parameters with 10B active per token across 256 experts — a 4.3% activation rate — over 62 layers, using multi-head causal self-attention with RoPE. Weights are published openly on Hugging Face and GitHub, so this is self-hostable rather than API-only, though the scale still implies a multi-GPU box. NVIDIA has upstreamed fused QK RMS Norm and FP8 MoE kernels from TensorRT-LLM for it. ⚠️ Released under a NON-COMMERCIAL license — commercial deployment requires a separate agreement with MiniMax.
Warianty
Najmniejszy wariant MiniMax M2.7 potrzebuje około 140 GB VRAM przy Q4_K_M — skwantyzowane wagi plus narzut frameworka, bez pamięci podręcznej KV.
| Model | VRAM przy Q4 | VRAM | Kontekst | Uruchom |
|---|---|---|---|---|
| MiniMax M2.7 230B-A10B → 230B (10B active) | ~139.7 GB | Unverified — sources disagree (192K–200K) | ollama run minimax-m2-7 |
Pamięć to skwantyzowane wagi plus narzut przy Q4_K_M, liczone tym samym silnikiem co sprawdzarka GPU i VRAM.
Jak uruchomić MiniMax M2.7 lokalnie
Zainstaluj Ollama, a potem pobierz tag.
ollama run minimax-m2-7Wybierz rozmiar powyżej, aby zobaczyć jego VRAM, szacowaną szybkość i polecenie instalacji.
Licencja
Research / non-commercial only — this licence does NOT permit shipping a commercial product.
Dotyczy: MiniMax M2.7 230B-A10BPolecane GPU
Najtańsze GPU z naszego katalogu, które uruchomi MiniMax M2.7 lokalnie (min. 140 GB VRAM), to Apple M3 Ultra (512 GB).
Czy uruchomię MiniMax M2.7 na moim GPU?
- MiniMax M2.7 na AMD Ryzen AI Max+ 395
- MiniMax M2.7 na Apple M1 Max
- MiniMax M2.7 na Apple M1 Ultra
- MiniMax M2.7 na Apple M2 Max
- MiniMax M2.7 na Apple M2 Ultra
- MiniMax M2.7 na Apple M3 Max
- MiniMax M2.7 na Apple M4 Max
- MiniMax M2.7 na Apple M5 Max
- MiniMax M2.7 na Apple M5 Pro
- MiniMax M2.7 na NVIDIA A100 80GB (PCIe)
- MiniMax M2.7 na NVIDIA DGX Spark
- MiniMax M2.7 na NVIDIA H100 80GB (PCIe)
- MiniMax M2.7 na NVIDIA RTX PRO 6000 Blackwell
MiniMax M2.7 — najczęściej zadawane pytania
How much VRAM does MiniMax M2.7 need?
MiniMax M2.7 needs about 140 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: MiniMax M2.7 230B-A10B (140 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
Can I run MiniMax M2.7 on an RTX 4090 (24 GB)?
MiniMax M2.7's smallest variant needs about 140 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.
What quantization should I use for MiniMax M2.7?
Q4_K_M is the best balance of quality and VRAM for MiniMax M2.7 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
How do I run MiniMax M2.7 with Ollama?
MiniMax M2.7 has no local Ollama tag — the published tag is cloud-hosted, so running it sends your prompts to a hosted GPU rather than your own machine.