How much RAM does MiniMax-M2.7 need?

MiniMax-M2.7 needs about 144 GB of memory at Q4_K_M quantization with 4K context. The download itself is 140 GB; the extra covers the context cache and runtime overhead.

Can I run MiniMax-M2.7 on a laptop?

Not on typical consumer hardware. MiniMax-M2.7 needs 144 GB, which is beyond a normal laptop or desktop.

MiniMax-M2.7: hardware requirements

MiniMax-M2.7 needs about 144 GB of memory at Q4 quantization — a 140 GB download plus room for context and overhead. That is beyond consumer hardware; use it through an API instead.

Parameters

229B

Tier

Server only

Licence

See model card

Released

2025-10-26

This is a mixture-of-experts model. Only a fraction of its 229B parameters are used for each token, so it runs faster than its size suggests — but all of it still has to fit in memory. The speed is that of a small model; the memory requirement is that of a large one. More on this →

Will it run on your machine?

8GB RAMNot enough memory 16GB RAMNot enough memory 32GB RAMNot enough memory 64GB RAMNot enough memory 128GB RAMNot enough memory 8GB VRAMNot enough memory 12GB VRAMNot enough memory 16GB VRAMNot enough memory 24GB VRAMNot enough memory 32GB VRAMNot enough memory

Download sizes by quantization

Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?

Quant	Download	RAM @ 4K	RAM @ 32K	Source
Q4_K_Mrecommended	140 GB	144 GB	152 GB	measured
Q5_K_M	169 GB	173 GB	180 GB	measured
Q6_K	188 GB	192 GB	200 GB	measured
Q8_0	243 GB	247 GB	255 GB	measured
BF16	457 GB	462 GB	469 GB	measured

“Measured” sizes are read from published GGUF files (unsloth/MiniMax-M2.7-GGUF). “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.

Model card on HuggingFace →API specs & pricing →Verified 2026-08-01