Codestral on Apple M2 Ultra · 192GB

✅ Runs comfortably — Codestral 22B @ Q8_0
Codestral 22B at Q8_0 needs ~24.9 GB (weights 22.0 GB + KV 1.8 GB + overhead 1.1 GB @ 8K ctx) of your 141 GB usable (of 192 GB unified memory) — plenty of headroom. Expect ~10–16 tok/s (usable).
context @ Q8_0: comfortable to 32K
quantneedsspeed
✓ Q8_024.9 GB~10–16 tok/s (usable)
✓ Q5_K_M17.2 GB~14–25 tok/s (usable)
✓ Q4_K_M14.9 GB~16–25 tok/s (fast)
✓ Q3_K_M12.4 GB~20–35 tok/s (fast)
$runlocal install codestral:22b
runlocal verdict card
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Codestral: 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 M4 Pro

Also runs on a Apple M2 Ultra: DeepSeek-R1 (distill) · Qwen3 · Qwen2.5 · Llama 3.1 · Llama 3.3

Best models for a Apple M2 Ultra · 192GB →

Architecturally similar

These share Codestral's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M2 Ultra · 192GB too:

modelsharesverdict here
Qwen2.5-Coder 8kv/128hd ✅ Runs comfortably
Llama 3.2 8kv/128hd ✅ Runs comfortably
Mistral 7B 8kv/128hd ✅ Runs comfortably
Mistral Small 3 8kv/128hd ✅ Runs comfortably
Mistral Nemo 8kv/128hd ✅ Runs comfortably
Llama 3.2 Vision 8kv/128hd ✅ Runs comfortably
Mixtral 8x7B 8kv/128hd ✅ Runs comfortably
Phi-4-mini 8kv/128hd ✅ Runs comfortably

…and 6 more — see the Codestral page.

Check any combo yourself: open the checker →