QwQ 32B on Apple M2 · 16GB

❌ Won't fit — QwQ 32B @ Q4_K_M
QwQ 32B 32B at Q4_K_M needs ~21.4 GB (weights 18.5 GB + KV 2.0 GB + overhead 947 MB @ 8K ctx) — more than your 8.2 GB usable of 16.0 GB unified. Try a smaller model or a lower quant.
quantneedsspeed
Q8_036.1 GB
Q5_K_M24.7 GB
Q4_K_M21.4 GB

Won't fit here — what hardware runs QwQ 32B? →

runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
QwQ 32B: Won't fit
for your own README — links back here

Same model, other machines: Apple M1 · Apple M1 Pro · Apple M3 Pro · Apple M2 Pro · Apple M4 Pro · Apple M3 Max

Also runs on a Apple M2: DeepSeek-R1 (distill) · Qwen3 · Llama 3.1 · Qwen2.5 · Gemma 3

Best models for a Apple M2 · 16GB →

Architecturally similar

These share QwQ 32B's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M2 · 16GB too:

modelsharesverdict here
Qwen2.5-Coder 8kv/128hd ✅ Runs (tight)
Llama 3.2 8kv/128hd ✅ Runs comfortably
Llama 3.3 8kv/128hd ❌ Won't fit
Mistral 7B 8kv/128hd ✅ Runs (tight)
Mistral Small 3 8kv/128hd 🐢 CPU-only (slow)
Mistral Nemo 8kv/128hd 🐢 CPU-only (slow)
Codestral 8kv/128hd 🐢 CPU-only (slow)
Llama 3.2 Vision 8kv/128hd ✅ Runs (tight)

…and 7 more — see the QwQ 32B page.

Check any combo yourself: open the checker →