SmolLM2 on Apple M1 · 8GB

🐢 CPU-only (slow) — 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 2.9 GB usable (of 8.0 GB unified memory) — runs on CPU only. Expect ~1–2 tok/s (slow).
context @ FP16: runs to its full 8K
quantneedsspeed
~ FP165.2 GB~1–2 tok/s (slow)
~ Q8_03.7 GB~1–2 tok/s (slow)
~ Q4_K_M3.0 GB~2–3 tok/s (slow)
$runlocal install smollm2:1.7b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
SmolLM2: 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

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