OLMo 2 7B on Apple M2 Pro · 32GB

✅ Runs comfortably — OLMo 2 7B @ Q8_0
OLMo 2 7B 7B at Q8_0 needs ~11.7 GB (weights 7.2 GB + KV 4.0 GB + overhead 512 MB @ 8K ctx) of your 18.4 GB usable (of 32.0 GB unified memory) — plenty of headroom. Expect ~9–16 tok/s (usable).
context @ Q8_0: comfortable to 4K
quantneedsspeed
✓ Q8_011.7 GB~9–16 tok/s (usable)
✓ Q6_K10.1 GB~11–18 tok/s (usable)
✓ Q4_K_M8.7 GB~13–20 tok/s (usable)
$runlocal install olmo2:7b
runlocal verdict card
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OLMo 2 7B: 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

Best models for a Apple M2 Pro · 32GB →

Architecturally similar

These share OLMo 2 7B's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M2 Pro · 32GB too:

modelsharesverdict here
Code Llama 32kv/128hd ✅ Runs (tight)
LLaVA 32kv/128hd ✅ Runs (tight)

Check any combo yourself: open the checker →