OLMo 2 7B on Apple M4 Pro · 48GB

✅ 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 33.0 GB usable (of 48.0 GB unified memory) — plenty of headroom. Expect ~12–20 tok/s (usable).
context @ Q8_0: comfortable to 4K
quantneedsspeed
Q8_011.7 GB~12–20 tok/s (usable)
Q6_K10.1 GB~14–25 tok/s (usable)
Q4_K_M8.7 GB~17–30 tok/s (fast)
$runlocal install olmo2:7b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
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 M2 Pro · Apple M3 Max

Also runs on a Apple M4 Pro: Qwen3 · DeepSeek-R1 (distill) · Qwen2.5 · Mixtral 8x7B · Gemma 3

Best models for a Apple M4 Pro · 48GB →

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 M4 Pro · 48GB too:

modelsharesverdict here
Code Llama 32kv/128hd ✅ Runs comfortably
LLaVA 32kv/128hd ✅ Runs comfortably

Check any combo yourself: open the checker →