Will It Run AI

MiniMax

MiniMax M2.7

Frontier
Apr 2026Publicado205K tokensContextoApache 2.0Licença85 ForteQualidade

MiniMax M2.7 (230B parameters) requires approximately 145.6 GB of VRAM with UD-IQ4_XS quantization. As a Mixture of Experts model with 10B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 168 GB of VRAM.

Comece agora

— copie e cole para rodar localmente

Copy-paste commands to run MiniMax M2.7 on your machine.

Run

lms load MiniMax-M2.7 && lms server start

Quick specs

Parameters230B (10B active)
Architecturemoe (MoE)
Context205K tokens
Modalitytext
Min RAM89.7 GB
Rec. RAM140.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyMiniMax
Vision Tool Use Thinking Code Chat

About this model

Self-evolving agent model with 230B total / 10B active MoE architecture. SOTA on SWE-Pro (56.2%) and Terminal Bench 2 (57%). Runs locally on 128GB Mac with Dynamic 4-bit GGUF.

Seu hardware

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Melhor hardware

Melhores opções para MiniMax M2.7

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Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
89.7 GB
Low
Q3_K_S
3
112.7 GB
Low
NVFP4
4
128.8 GB
Medium
Q4_K_M
4
140.3 GB
Medium
Q5_K_M
5
165.6 GB
High
Q6_K
6
188.6 GB
High
Q8_0
8
246.1 GB
Very High
F16
16
471.5 GB
Maximum

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights140.3 GB
KV Cache3.8 GB
Runtime0.9 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — MiniMax M2.7

Veja também