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Can I run MiniMax-M1-80k on Nvidia GeForce RTX 5090 (32GB)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. MiniMax-M1-80k needs ~284.6 GB even at Q4_K_M, but Nvidia GeForce RTX 5090 (32GB) only has ~31 GB usable.

Needs ~284.6 GB Device usable ~31 GB

Needs ~284.6 GB even at Q4_K_M, but only ~31 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 253.6 GB: MiniMax-M1-80k needs roughly 284.6 GB at Q4_K_M and Nvidia GeForce RTX 5090 (32GB) leaves only about 31 GB usable for a model. No single tracked device has enough memory; MiniMax-M1-80k needs a multi-GPU or high-memory rig.

Q4_K_M needed
~284.6 GB
Usable on device
~31 GB
Device memory
32 GB
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Which quant fits

Quant ladder vs ~31 GB usable
Q2_K
~196.9 GB
Q3_K_M
~228.8 GB
Q4_K_M
~284.6 GB
Q5_K_M
~330.8 GB
Q6_K
~379.8 GB
Q8_0
~490.4 GB
FP16
~917.9 GB
The line marks Nvidia GeForce RTX 5090 (32GB)'s ~31 GB budget; rungs past it are too large.

How to run it

On Windows use LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.).

Model MiniMax
Parameters
456B (MoE, 45.9B active)
Q4_K_M size
278.7 GB
Context
1000k
Full MiniMax-M1-80k requirements →
Device Windows
Memory
32 GB vram
Usable for weights
~31 GB
Power draw
~575 W
Best runtime
vLLM (Linux) / Ollama (CUDA)
Best models for Nvidia GeForce RTX 5090 (32GB) →

What you can run instead

FAQ

Can Nvidia GeForce RTX 5090 (32GB) run MiniMax-M1-80k?

No. MiniMax-M1-80k needs ~284.6 GB even at Q4_K_M, but Nvidia GeForce RTX 5090 (32GB) only has ~31 GB usable.

How much memory does MiniMax-M1-80k need?

Nvidia GeForce RTX 5090 (32GB) does not have enough memory. At Q4_K_M the weights are ~278.7 GB; with KV cache and runtime overhead, budget ~284.6 GB at a 4k context. It is a Mixture-of-Experts model (456B total / 45.9B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run MiniMax-M1-80k on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.