text model · MiniMax · Windows

Can I run MiniMax-M1-80k on 8GB RAM Laptop (CPU/iGPU only)?

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 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

Needs ~284.6 GB Device usable ~5 GB

Needs ~284.6 GB even at Q4_K_M, but only ~5 GB is usable.

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

The gap is about 279.6 GB: MiniMax-M1-80k needs roughly 284.6 GB at Q4_K_M and 8GB RAM Laptop (CPU/iGPU only) leaves only about 5 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: ~5 GB
Device memory: 8 GB

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Which quant fits

Quant ladder vs ~5 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 8GB RAM Laptop (CPU/iGPU only)'s ~5 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: 8 GB ram
Usable for weights: ~5 GB
Power draw: ~15 W
Best runtime: Ollama (llama.cpp backend)

Best models for 8GB RAM Laptop (CPU/iGPU only) →

What you can run instead

FAQ

Can 8GB RAM Laptop (CPU/iGPU only) run MiniMax-M1-80k?

No. MiniMax-M1-80k needs ~284.6 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

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

8GB RAM Laptop (CPU/iGPU only) 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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Markdown

[![MiniMax-M1-80k on 8GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/badge/minimax-m1-80k/laptop-8gb.svg)](https://localmodel.run/can-i-run/minimax-m1-80k/laptop-8gb)

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.