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text model · MiniMax · Windows

Can I run MiniMax M3 on 32GB RAM Laptop (CPU/iGPU only)?

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

No. MiniMax M3 needs ~269.8 GB even at Q4_K_M, but 32GB RAM Laptop (CPU/iGPU only) only has ~28 GB usable.

Needs ~269.8 GB Device usable ~28 GB

Needs ~269.8 GB even at Q4_K_M, but only ~28 GB is usable.

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

The gap is about 241.8 GB: MiniMax M3 needs roughly 269.8 GB at Q4_K_M and 32GB RAM Laptop (CPU/iGPU only) leaves only about 28 GB usable for a model. No single tracked device has enough memory; MiniMax M3 needs a multi-GPU or high-memory rig.

Q4_K_M needed
~269.8 GB
Usable on device
~28 GB
Device memory
32 GB
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Which quant fits

Quant ladder vs ~28 GB usable
Q2_K
~185 GB
Q3_K_M
~215 GB
Q4_K_M
~269.8 GB
Q5_K_M
~310.8 GB
Q6_K
~356.8 GB
Q8_0
~458.5 GB
FP16
~857.8 GB
The line marks 32GB RAM Laptop (CPU/iGPU only)'s ~28 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
428B (MoE, 23B active)
Q4_K_M size
264.03 GB
Q8_0 size
452.71 GB
Context
1000k
Full MiniMax M3 requirements →
Device Windows
Memory
32 GB ram
Usable for weights
~28 GB
Power draw
~28 W
Best runtime
Ollama (llama.cpp backend)
Best models for 32GB RAM Laptop (CPU/iGPU only) →

What you can run instead

FAQ

Can 32GB RAM Laptop (CPU/iGPU only) run MiniMax M3?

No. MiniMax M3 needs ~269.8 GB even at Q4_K_M, but 32GB RAM Laptop (CPU/iGPU only) only has ~28 GB usable.

How much memory does MiniMax M3 need?

32GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~264.03 GB; with KV cache and runtime overhead, budget ~269.8 GB at a 4k context. It is a Mixture-of-Experts model (428B total / 23B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run MiniMax M3 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.