Phi-3.5-mini on Apple M1 · 8GB

🐢 CPU-only (slow) — Phi-3.5-mini 3.8B @ Q5_K_M
Phi-3.5-mini 3.8B at Q5_K_M needs ~6.0 GB (weights 2.5 GB + KV 3.0 GB + overhead 512 MB @ 8K ctx) of your 2.9 GB usable (of 8.0 GB unified memory) — runs on CPU only. Expect ~0.9–1 tok/s (slow).
context @ Q5_K_M: runs to 8K · won't fit past that on this rig
quantneedsspeed
Q8_07.3 GB
~ Q5_K_M6.0 GB~0.9–1 tok/s (slow)
~ Q4_K_M5.7 GB~0.9–2 tok/s (slow)
$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: CPU-only (slow)
for your own README — links back here

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

Also runs on a Apple M1: DeepSeek-R1 (distill) · Qwen2.5 · Qwen3 · Llama 3.2 · Gemma 2

Best models for a Apple M1 · 8GB →

Check any combo yourself: open the checker →