Can I run this LLM?
Can a MacBook Air/Pro / Mac mini M1 (16GB) run AesCode 32B (text-only)?
AesCode · Apache 2.0 · estimated for a 16.0 GB machine at 4K context.
No — too big for this machine.
AesCode 32B (text-only) needs more memory than the 16.0 GB on a MacBook Air/Pro / Mac mini M1 (16GB), even at its smallest quantization.
Pack & allocation notes: Text-only estimates exclude the vision projector and image-input runtime memory. The FP16 label uses supplied BF16 weights.
Arena Text Overall · style-controlled
UnratedNo exact matchNo reviewed exact Arena match
No reviewed exact model/configuration match in the Arena Text Overall style-controlled snapshot. No family or editorial score is substituted. Local quantization quality is unmeasured.
Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh
Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986
Too big for your machine — run it in the cloud
Needs 1× 48 GB GPU (A6000 / L40S) · about $0.50–1.50/hr
- RunPod — Per-second GPU pods — bring your own GGUF, spin up on demand.
- Vast.ai — Cheap GPU marketplace — rent by the hour, bring your own GGUF.
- Vultr — Cloud GPU VMs by the hour — full root access, run any stack.
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Ran AesCode 32B (text-only) on a MacBook Air/Pro / Mac mini M1 (16GB)? Add your real numbers →