| quant | needs | speed |
|---|---|---|
| ✓ Q8_0 | 5.7 GB | ~40–65 tok/s (very fast) |
| ✓ Q6_K | 4.7 GB | ~50–80 tok/s (very fast) |
| ✓ Q4_K_M | 4.0 GB | ~60–95 tok/s (very fast) |
Same model, other machines: Apple M1 · Apple M1 Pro · Apple M2 · Apple M3 Pro · Apple M2 Pro · Apple M4 Pro
Also runs on a NVIDIA GeForce RTX 4070: Qwen3 · DeepSeek-R1 (distill) · Qwen2.5 · Llama 3.1 · Gemma 4
Best models for a NVIDIA GeForce RTX 4070 · 12GB VRAM →
These share Nemotron-Mini 4B's KV-cache geometry — they size memory the same way, so here's how they fit on a NVIDIA GeForce RTX 4070 · 12GB VRAM too:
| model | shares | verdict 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 | ⚠️ Partial GPU offload |
| Mistral Nemo | 8kv/128hd | ✅ Runs (tight) |
| Codestral | 8kv/128hd | ⚠️ Partial GPU offload |
| Llama 3.2 Vision | 8kv/128hd | ✅ Runs comfortably |
…and 7 more — see the Nemotron-Mini 4B page.
Check any combo yourself: open the checker →