Phi-3.5-mini on Apple M2 Max · 64GB

✅ Runs comfortably — Phi-3.5-mini 3.8B @ Q8_0
Phi-3.5-mini 3.8B at Q8_0 needs ~7.3 GB (weights 3.8 GB + KV 3.0 GB + overhead 512 MB @ 8K ctx) of your 45.0 GB usable (of 64.0 GB unified memory) — plenty of headroom. Expect ~25–45 tok/s (fast).
context @ Q8_0: comfortable to 64K · runs to its full 128K
quantneedsspeed
✓ Q8_07.3 GB~25–45 tok/s (fast)
✓ Q5_K_M6.0 GB~30–55 tok/s (fast)
✓ Q4_K_M5.7 GB~35–55 tok/s (fast)
$runlocal install phi3.5:3.8b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
Phi-3.5-mini: 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

Best models for a Apple M2 Max · 64GB →

Check any combo yourself: open the checker →