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audio model · whisper · Windows

Can I run Whisper large-v3 on 32GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict memory check
Yes, it runsheavy offloading

Yes. Whisper large-v3 runs on 32GB RAM Laptop (CPU/iGPU only) at int8 (~2.5 GB of ~28 GB usable).

Needs ~2.5 GB Device usable ~28 GB

Runs at int8 using ~2.5 GB of ~28 GB usable.

Peak memory
~2.5 GB
Usable on device
~28 GB
Device memory
32 GB
Quant
int8

How to run it

Use whisper.cpp or faster-whisper at int8. It is light enough to run on CPU; a GPU just makes it faster.

Model whisper
Type
Speech to text
Parameters
1.55B
Peak memory
~2.5 GB at int8
License
MIT
Full Whisper large-v3 requirements →
Device Windows
Memory
32 GB ram
Usable for weights
~28 GB
Best runtime
Ollama (llama.cpp backend)
Best models for 32GB RAM Laptop (CPU/iGPU only) →

You could also run

Run Whisper large-v3 on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 ProiPhone 16iPhone 16 ProGeneric Android Phone (8GB RAM)

FAQ

Can 32GB RAM Laptop (CPU/iGPU only) run Whisper large-v3?

Yes. Whisper large-v3 runs on 32GB RAM Laptop (CPU/iGPU only) at int8 (~2.5 GB of ~28 GB usable).

How much memory does Whisper large-v3 need?

32GB RAM Laptop (CPU/iGPU only) has room to spare. At int8 the realistic peak is ~2.5 GB of memory.

What do I use to run Whisper large-v3 locally?

Whisper large-v3 runs in whisper.cpp or faster-whisper (among others). It runs on CPU, so no GPU is required.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-06-15. See methodology.