Can GPT-OSS 20B run on MacBook Air M1 8GB?
NO — Won’t fit
MXFP4 · 4K context · formula estimate
What this means
The checked MXFP4 build needs about 15GB, above this Mac's conservative 5GB working budget.
−10GB short
above the working budget
15GB
needed at MXFP4
MXFP4
quant selected
0GB
working headroom
needs 15 GBworking budget 5 GB · short 10 GB
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | MXFP4 GGUF (12.1 GB) + mmap overhead | 12.7 |
| KV cache | 4K context window | 1.5 |
| Runtime | macOS inference app + compute buffers | 0.8 |
| Total needed | at MXFP4, 4K context | 15 |
| Working budget | 8 GB unified memory − conservative macOS reserve | 5 |
| Headroom | memory shortfall | −10 |
Pick your quant
| Quant | Download | Memory | Estimated speed | Verdict |
|---|---|---|---|---|
| MXFP4 ★ | 12.1 GB | 15 GB | — | ✕ Won't fit |
Other models on this Mac
GPT-OSS 20B on other MacBook Air M1 configurations
FAQ
Can the MacBook Air M1 · 8GB run GPT-OSS 20B?
Not with the quants currently tracked. The selected MXFP4 build needs about 15GB, above the 5GB working budget.
Which GPT-OSS 20B quant should I use on this Mac?
None of the tracked quants fit this configuration safely. Choose a smaller model or a Mac with more unified memory.
Which app should I use for GPT-OSS 20B on this Mac?
Start with LM Studio. This page gives the complete point-and-click walkthrough.
Are these speeds measured on a MacBook Air M1?
No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.