Nomic Embed Text on Apple M2 Max · 64GB

✅ 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 45.0 GB usable (of 64.0 GB unified memory) — plenty of headroom. Expect ~330–550 tok/s (very fast).
context @ F16: comfortable to 8K
quantneedsspeed
✓ F161.0 GB~330–550 tok/s (very fast)
✓ Q8_0939 MB~420–700 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 M2 Pro · Apple M4 Pro

Also runs on a Apple M2 Max: DeepSeek-R1 (distill) · Qwen3 · Llama 3.1 · Llama 3.3 · Qwen2.5

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