Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~5.6 GB of headroom running Llama 3.2 Vision 11B at Q4_K_M (6.39975 GB, ~58 tok/s (est.)) with room for up to 16K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
| Quant | VRAM needed | Fits 12 GB? | Max context |
|---|---|---|---|
| F16 | 22.7 GB | ✗ No | — |
| Q8_0 | 12.7 GB | ✗ No | — |
| Q6_K | 10.2 GB | ✓ Yes | 8K |
| Q5_K_M | 9 GB | ✓ Yes | 16K |
| Q4_K_M | 7.9 GB | ✓ Yes | 16K |
| Q3_K_M | 6 GB | ✓ Yes | 32K |
| Q2_K | 5 GB | ✓ Yes | 32K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Llama 3.2 Vision 11B | Q4_K_M · 6.39975 GB · ~58 tok/s (est.) |
At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~5.6 GB of headroom running Llama 3.2 Vision 11B at Q4_K_M (6.39975 GB, ~58 tok/s (est.)) with room for up to 16K context.
Llama 3.2 Vision 11B at Q4_K_M quantization (6.39975 GB), estimated ~58 tokens/sec, up to 16K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Llama 3.2 Vision 90B | 53.6 GB | Does not fit | — |
| Llama 3.2 Vision 11B | 6.4 GB | Runs | ~58 tok/s |
← Can I Run It? | Llama 3.2 Vision Model Page | NVIDIA GeForce RTX 4070 GPU Page | Check Your Hardware