| quant | needs | speed |
|---|---|---|
| ✓ Q8_0 | 36.0 GB | ~6–11 tok/s (usable) |
| ✓ Q5_K_M | 24.8 GB | ~9–16 tok/s (usable) |
| ✓ Q4_K_M | 21.4 GB | ~11–18 tok/s (usable) |
| ✓ Q3_K_M | 17.7 GB | ~13–20 tok/s (usable) |
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 M4 Max: DeepSeek-R1 (distill) · Qwen2.5 · Llama 3.1 · Llama 3.3 · Mistral Small 3
Best models for a Apple M4 Max · 128GB →
These share Qwen3's KV-cache geometry — they size memory the same way, so here's how they fit on a Apple M4 Max · 128GB too:
| model | shares | verdict here |
|---|---|---|
| Qwen2.5-Coder | 4kv/128hd8kv/128hd | ✅ Runs comfortably |
| Llama 3.2 | 8kv/128hd | ✅ Runs comfortably |
| Mistral 7B | 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 |
| Phi-4-mini | 8kv/128hd | ✅ Runs comfortably |
…and 10 more — see the Qwen3 page.
Check any combo yourself: open the checker →