mxbai-embed-large on Apple M2 · 16GB

✅ Runs comfortably — mxbai-embed-large 335M @ F16
mxbai-embed-large 335M at F16 needs ~1.9 GB (weights 638 MB + KV 768 MB + overhead 512 MB @ 8K ctx) of your 8.2 GB usable (of 16.0 GB unified memory) — plenty of headroom. Expect ~40–70 tok/s (very fast).
context @ F16: comfortable to 512
quantneedsspeed
✓ F161.9 GB~40–70 tok/s (very fast)
$runlocal install mxbai-embed-large
runlocal verdict card
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mxbai-embed-large: Runs comfortably
for your own README — links back here

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

Also runs on a Apple M2: DeepSeek-R1 (distill) · Qwen3 · Llama 3.1 · Qwen2.5 · Gemma 3

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