gpt-oss on Apple M2 Pro · 32GB

✅ Runs comfortably — gpt-oss 20B-A3.6B (MoE) @ MXFP4
gpt-oss 20B-A3.6B (MoE) at MXFP4 needs ~12.2 GB (weights 11.3 GB + KV 384 MB + overhead 577 MB @ 8K ctx) of your 18.4 GB usable (of 32.0 GB unified memory) — plenty of headroom. Expect ~25–40 tok/s (fast).
context @ MXFP4: comfortable to 32K · runs to its full 128K
quantneedsspeed
✓ MXFP412.2 GB~25–40 tok/s (fast)
$runlocal install gpt-oss:20b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
gpt-oss: Runs comfortably
for your own README — links back here

Same model, other machines: Apple M1 · Apple M1 Pro · Apple M2 · Apple M3 Pro · Apple M4 Pro · Apple M3 Max

Also runs on a Apple M2 Pro: DeepSeek-R1 (distill) · Qwen2.5 · Qwen3 · Gemma 3 · Mistral Small 3

Best models for a Apple M2 Pro · 32GB →

Architecturally similar

These share gpt-oss's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M2 Pro · 32GB too:

modelsharesverdict here
Llama 3.2 8kv/64hd ✅ Runs comfortably

Check any combo yourself: open the checker →