Written by Jakub Rusinowski · Last updated August 15, 2026
Yes
Yes — Llama 3.2 11B Vision Instruct at Q6_K needs about 10.8 GB of the 12.8 GB usable on 16 GB system RAM (~2 GB spare), at ~7.1 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: high · Recommended quantization: Q6_K · Estimated speed: ~7.1 tok/s
| Usable memory for models | 12.8 GB |
| Memory bandwidth | 90 GB/s |
| Quant | Memory needed | Fits 12.8 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 23.3 GB | ✗ No | — | — | 21.2 GB |
| Q8_0 | 13.4 GB | ✗ No | — | — | 11.3 GB |
| Q6_K | 10.8 GB | ✓ Yes | 16K | ~7.1 tok/s | 8.7 GB |
| Q5_K_M | 9.7 GB | ✓ Yes | 16K | ~8.1 tok/s | 7.5 GB |
| Q4_K_M | 8.5 GB | ✓ Yes | 32K | ~9.3 tok/s | 6.4 GB |
| Q3_K_M | 6.7 GB | ✓ Yes | 32K | ~12.6 tok/s | 4.5 GB |
| Q2_K | 5.6 GB | ✓ Yes | 32K | ~15.6 tok/s | 3.5 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Llama 3.2 90B Vision Instruct | 57.8 GB | ✗ Too large | — |
| Llama 3.2 11B Vision Instruct | 8.5 GB | ✓ Fits | ~9.3 tok/s |
| Llama 3.2 3B Instruct | 3.7 GB | ✓ Fits | ~26.3 tok/s |
| Llama 3.2 1B Instruct | 1.8 GB | ✓ Fits | ~65 tok/s |
llama.cpp (CPU build) or Ollama — both run without a GPU
Yes — Llama 3.2 11B Vision Instruct at Q6_K needs about 10.8 GB of the 12.8 GB usable on 16 GB system RAM (~2 GB spare), at ~7.1 tok/s (estimated), with room for about 16,384 tokens of context.
Q6_K — it needs about 10.8 GB of the 12.8 GB available, downloads as roughly 8.7 GB, and runs at an estimated 7.1 tokens/sec with up to 16K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
llama.cpp (CPU build) or Ollama — both run without a GPU
← Can I Run It? | Llama 3.2 Family model page | Check your hardware