Codestral on Apple M4 Pro · 48GB

✅ 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 33.0 GB usable (of 48.0 GB unified memory) — plenty of headroom. Expect ~6–9 tok/s (slow).
context @ Q8_0: comfortable to 8K · runs to its full 32K
quantneedsspeed
Q8_024.9 GB~6–9 tok/s (slow)
Q5_K_M17.2 GB~8–14 tok/s (usable)
Q4_K_M14.9 GB~9–16 tok/s (usable)
Q3_K_M12.4 GB~11–19 tok/s (usable)
$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 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 Codestral'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
Llama 3.1 8kv/128hd ✅ Runs (tight)
Qwen2.5-Coder 8kv/128hd ✅ Runs comfortably
Llama 3.2 8kv/128hd ✅ Runs comfortably
Llama 3.3 8kv/128hd ✅ Runs (tight)
Mistral 7B 8kv/128hd ✅ Runs comfortably
Mistral Small 3 8kv/128hd ✅ Runs comfortably
Mistral Nemo 8kv/128hd ✅ Runs comfortably
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…and 7 more — see the Codestral page.

Check any combo yourself: open the checker →