text model · Command · Windows

Can I run Command A on 8GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Command A needs ~70.4 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

Needs ~70.4 GB Device usable ~5 GB

Needs ~70.4 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 65.4 GB: Command A needs roughly 70.4 GB at Q4_K_M and 8GB RAM Laptop (CPU/iGPU only) leaves only about 5 GB usable for a model. The lightest tracked hardware that runs Command A is the Apple M4 Max (128GB) at 128 GB. See Command A on Apple M4 Max (128GB).

Q4_K_M needed: ~70.4 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

~49.8 GB

Q3_K_M

~57.6 GB

Q4_K_M

~70.4 GB

Q5_K_M

~82.4 GB

Q6_K

~94.3 GB

Q8_0

~121.3 GB

FP16

~225.3 GB

The line marks 8GB RAM Laptop (CPU/iGPU only)'s ~5 GB budget; rungs past it are too large.

Model Command

Parameters: 111B
Q4_K_M size: 67.1 GB
Q8_0 size: 118 GB
Context: 256k
Ollama tag: command-a:111b

Full Command A 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

Run Command A on other hardware

Apple M4 Max (128GB)AMD Ryzen AI Halo (128GB)Apple M5 Max (128GB)Apple M3 Ultra (256GB)

FAQ

Can 8GB RAM Laptop (CPU/iGPU only) run Command A?

No. Command A needs ~70.4 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

How much memory does Command A need?

8GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~67.1 GB; with KV cache and runtime overhead, budget ~70.4 GB at a 4k context.

What is the best tool to run Command A 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

[![Command A on 8GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/badge/command-a-111b/laptop-8gb.svg)](https://localmodel.run/can-i-run/command-a-111b/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.