Written by Jakub Rusinowski · Last updated August 15, 2026
Yes, comfortably — you'll have ~1.6 GB of headroom running Llama 3.2 11B Vision Instruct at Q4_K_M (6.39975 GB, ~29 tok/s (est.)) with room for up to 4K context.
| VRAM | 8 GB |
| Memory Bandwidth | 320 GB/s |
| Quant | VRAM needed | Fits 8 GB? | Max context |
|---|---|---|---|
| F16 | 22.7 GB | ✗ No | — |
| Q8_0 | 12.7 GB | ✗ No | — |
| Q6_K | 10.2 GB | ✗ No | — |
| Q5_K_M | 9 GB | ✗ No | — |
| Q4_K_M | 7.9 GB | ✓ Yes | 4K |
| Q3_K_M | 6 GB | ✓ Yes | 8K |
| Q2_K | 5 GB | ✓ Yes | 16K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Llama 3.2 11B Vision Instruct | Q4_K_M · 6.39975 GB · ~29 tok/s (est.) |
| Llama 3.2 3B Instruct | Q4_K_M · 1.9380375 GB · ~70 tok/s (est.) |
| Llama 3.2 1B Instruct | Q4_K_M · 0.74865 GB · ~134 tok/s (est.) |
At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.
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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 ~1.6 GB of headroom running Llama 3.2 11B Vision Instruct at Q4_K_M (6.39975 GB, ~29 tok/s (est.)) with room for up to 4K context.
Llama 3.2 11B Vision Instruct at Q4_K_M quantization (6.39975 GB), estimated ~29 tokens/sec, up to 4K context.
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