Yi-Coder 9B on Apple M2 Pro · 32GB

✅ Runs comfortably — Yi-Coder 9B @ Q8_0
Yi-Coder 9B 9B at Q8_0 needs ~10.0 GB (weights 8.7 GB + KV 768 MB + overhead 512 MB @ 8K ctx) of your 18.4 GB usable (of 32.0 GB unified memory) — plenty of headroom. Expect ~11–18 tok/s (usable).
context @ Q8_0: comfortable to 32K · runs to its full 128K
quantneedsspeed
✓ Q8_010.0 GB~11–18 tok/s (usable)
✓ Q6_K8.0 GB~14–25 tok/s (usable)
✓ Q4_K_M6.2 GB~18–30 tok/s (fast)
$runlocal install yi-coder:9b
runlocal verdict card
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Yi-Coder 9B: 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 Yi-Coder 9B'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
Qwen2.5-Coder 4kv/128hd ✅ Runs (tight)
StarCoder2 4kv/128hd ✅ Runs (tight)
Yi 1.5 4kv/128hd ✅ Runs (tight)
Qwen3 Coder 30B-A3B 4kv/128hd 🐢 CPU-only (slow)
SmolLM3 3B 4kv/128hd ✅ Runs comfortably

Check any combo yourself: open the checker →