Yi 1.5 on Apple M2 Pro · 32GB

✅ Runs (tight) — Yi 1.5 34B @ Q3_K_M
Yi 1.5 34B at Q3_K_M needs ~18.3 GB (weights 15.7 GB + KV 1.9 GB + overhead 801 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 ~6–9 tok/s (slow).
context @ Q3_K_M: runs to its full 32K
quantneedsspeed
✗ Q8_037.6 GB—
~ Q5_K_M25.8 GB~0.5–0.9 tok/s (slow)
~ Q4_K_M22.3 GB~0.6–1 tok/s (slow)
✓ Q3_K_M18.3 GB~6–9 tok/s (slow)
$runlocal install yi:34b
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
Yi 1.5: 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) · Mistral Small 3 · Qwen3 · Llama 3.1 · Qwen2.5

Best models for a Apple M2 Pro · 32GB →

Architecturally similar

These share Yi 1.5'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/128hd8kv/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
Mixtral 8x7B 8kv/128hd 🐢 CPU-only (slow)

…and 10 more — see the Yi 1.5 page.

Check any combo yourself: open the checker →