gpt-oss on Apple M3 Pro · 18GB

🐢 CPU-only (slow) — 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 9.1 GB usable (of 18.0 GB unified memory) — runs on CPU only. Expect ~2–4 tok/s (slow).
context @ MXFP4: runs to 64K · won't fit past that on this rig
quantneedsspeed
~ MXFP412.2 GB~2–4 tok/s (slow)
$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: CPU-only (slow)
for your own README — links back here

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

Also runs on a Apple M3 Pro: DeepSeek-R1 (distill) · Qwen3 · Llama 3.1 · Qwen2.5 · Mistral 7B

Best models for a Apple M3 Pro · 18GB →

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 M3 Pro · 18GB too:

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

Check any combo yourself: open the checker →