Question 1

How much VRAM does MiniMax-M2 need?

Accepted Answer

MiniMax-M2 (228.7B) requires approximately 511.192481803894 GB of VRAM at full precision (FP16), 255.6 GB at 8-bit quantization (Q8), and 127.8 GB at 4-bit quantization (Q4). The actual VRAM usage may be slightly higher due to KV cache and runtime overhead.

Question 2

What GPUs can run MiniMax-M2?

Accepted Answer

We currently have no compatible GPUs indexed for MiniMax-M2. This may be because the model's VRAM requirements exceed available GPUs in our database, or VRAM data hasn't been computed yet.

Question 3

What is the cheapest GPU to run MiniMax-M2?

Accepted Answer

We don't currently have cloud pricing data for GPUs compatible with MiniMax-M2. Cloud pricing data is updated regularly — check back soon.

Question 4

Can MiniMax-M2 run on consumer hardware?

Accepted Answer

MiniMax-M2 requires approximately 511.192481803894 GB of VRAM at FP16, and even with 4-bit quantization (Q4) it needs about 127.8 GB. This exceeds the 24 GB available on the highest-end consumer GPU (RTX 4090), so MiniMax-M2 requires datacenter or cloud GPUs.

Question 5

What quantization options are available for MiniMax-M2?

Accepted Answer

MiniMax-M2 supports the following quantization levels: FP16 (full precision): ~511.192481803894 GB, Q8 (8-bit): ~255.6 GB, Q6 (6-bit): ~191.7 GB, Q4 (4-bit): ~127.8 GB. Lower quantization reduces VRAM usage at the cost of some quality loss. Q8 offers a good balance between quality and memory savings, while Q4 provides maximum compression. As a Mixture of Experts (MoE) model with 256 experts (8 active), MiniMax-M2 has a larger total weight size but only activates a subset of parameters per token, which can affect effective memory usage during inference.

MiniMax-M2

VRAM Requirements

Compatible GPUs

MiniMax-M2 FAQ

VRAM requirements for MiniMax-M2 at different quantization levels
Quantization	VRAM Required
FP16	511.2 GB
Q8	255.6 GB
Q6	191.7 GB
Q4	127.8 GB