Nomic Embed Text on Apple M2 Pro · 32GB

✅ Runs comfortably — Nomic Embed Text 137M @ F16
Nomic Embed Text 137M at F16 needs ~1.0 GB (weights 261 MB + KV 288 MB + overhead 512 MB @ 8K ctx) of your 18.4 GB usable (of 32.0 GB unified memory) — plenty of headroom. Expect ~200–330 tok/s (very fast).
context @ F16: comfortable to 8K
quantneedsspeed
✓ F161.0 GB~200–330 tok/s (very fast)
✓ Q8_0939 MB~250–420 tok/s (very fast)
$runlocal install nomic-embed-text
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
Nomic Embed Text: 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) · Mistral Small 3 · Qwen3 · Llama 3.1 · Qwen2.5

Best models for a Apple M2 Pro · 32GB →

Check any combo yourself: open the checker →