SmolLM2 on Apple M2 Pro · 32GB

✅ Runs comfortably — SmolLM2 1.7B @ FP16
SmolLM2 1.7B at FP16 needs ~5.2 GB (weights 3.2 GB + KV 1.5 GB + overhead 512 MB @ 8K ctx) of your 18.4 GB usable (of 32.0 GB unified memory) — plenty of headroom. Expect ~20–35 tok/s (fast).
context @ FP16: comfortable to 8K
quantneedsspeed
✓ FP165.2 GB~20–35 tok/s (fast)
✓ Q8_03.7 GB~35–55 tok/s (fast)
✓ Q4_K_M3.0 GB~45–70 tok/s (very fast)
$runlocal install smollm2:1.7b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
SmolLM2: 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

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