Yi 1.5 on Apple M2 Ultra · 192GB

✅ Runs comfortably — Yi 1.5 34B @ Q8_0
Yi 1.5 34B at Q8_0 needs ~37.6 GB (weights 34.0 GB + KV 1.9 GB + overhead 1.7 GB @ 8K ctx) of your 141 GB usable (of 192 GB unified memory) — plenty of headroom. Expect ~7–11 tok/s (usable).
context @ Q8_0: comfortable to 32K
quantneedsspeed
✓ Q8_037.6 GB~7–11 tok/s (usable)
✓ Q5_K_M25.8 GB~10–16 tok/s (usable)
✓ Q4_K_M22.3 GB~11–18 tok/s (usable)
✓ Q3_K_M18.3 GB~13–20 tok/s (usable)
$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 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 Yi 1.5'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 4kv/128hd8kv/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
Codestral 8kv/128hd ✅ Runs comfortably
Llama 3.2 Vision 8kv/128hd ✅ Runs comfortably
Mixtral 8x7B 8kv/128hd ✅ Runs comfortably

…and 10 more — see the Yi 1.5 page.

Check any combo yourself: open the checker →