Ministral 3 14B on Apple M2 Pro · 32GB

✅ Runs (tight) — Ministral 3 14B @ Q8_0
Ministral 3 14B 14B at Q8_0 needs ~15.3 GB (weights 13.4 GB + KV 1.3 GB + overhead 685 MB @ 8K ctx) of your 18.4 GB usable (of 32.0 GB unified memory) — fits, but little headroom — close other apps or trim context. Expect ~7–12 tok/s (usable).
context @ Q8_0: comfortable to 4K · runs to 64K · won't fit past that on this rig
quantneedsspeed
✓ Q8_015.3 GB~7–12 tok/s (usable)
✓ Q4_K_M9.4 GB~14–25 tok/s (usable)
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Ministral 3 14B: Runs (tight)
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) · Qwen2.5 · Qwen3 · Gemma 3 · Mistral Small 3

Best models for a Apple M2 Pro · 32GB →

Architecturally similar

These share Ministral 3 14B'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
Llama 3.1 8kv/128hd ✅ Runs comfortably
Qwen2.5-Coder 8kv/128hd ✅ Runs (tight)
Llama 3.2 8kv/128hd ✅ Runs comfortably
Llama 3.3 8kv/128hd 🐢 CPU-only (slow)
Mistral 7B 8kv/128hd ✅ Runs comfortably
Mistral Nemo 8kv/128hd ✅ Runs comfortably
Codestral 8kv/128hd ✅ Runs (tight)
Llama 3.2 Vision 8kv/128hd ✅ Runs comfortably

…and 8 more — see the Ministral 3 14B page.

Check any combo yourself: open the checker →