MiniMax
MiniMax M2.7
Frontier
Apr 2026Released205K tokensContextApache 2.0License85 StrongQuality
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.
Get started
— copy & paste to run locallyCopy-paste commands to run MiniMax M2.7 on your machine.
Run
lms load MiniMax-M2.7 && lms server startQuick specs
Parameters230B (10B active)
Architecturemoe (MoE)
Context205K tokens
Modalitytext
Min RAM89.7 GB
Rec. RAM140.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyMiniMax
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About this model
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
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 | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights140.3 GB
KV Cache3.8 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — MiniMax M2.7
See also