Can I Run Llama 3.2 11B Vision Instruct on NVIDIA GeForce RTX 5060?
Written by Jakub Rusinowski · Last updated August 15, 2026
Not at Q4_K_M — that needs 8.5 GB at 8K context and the NVIDIA GeForce RTX 5060 has 8 GB. Drop to Q3_K_M and it fits in 6.7 GB, with up to 8K of context.
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The numbers
| Model | Llama 3.2 11B Vision Instruct |
| Parameters | 11B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 8.5 GB |
| NVIDIA GeForce RTX 5060 VRAM | 8 GB |
| Verdict | Runs at a lower quant |
| Fits at | Q3_K_M (6.7 GB) |
| Max context | 8K |
Llama 3.2 11B Vision Instruct on the NVIDIA GeForce RTX 5060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 23.3 GB | ✗ No | — | — |
| Q8_0 | 13.4 GB | ✗ No | — | — |
| Q6_K | 10.8 GB | ✗ No | — | — |
| Q5_K_M | 9.7 GB | ✗ No | — | — |
| Q4_K_M | 8.5 GB | ✗ No | — | — |
| Q3_K_M | 6.7 GB | ✓ Yes | 8K | — |
| Q2_K | 5.6 GB | ✓ Yes | 16K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “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.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5060: 8K 8.5 GB ✗ · 32K 12.6 GB ✗ · 125K 28.2 GB ✗. Past 8K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Quantize to Q3_K_M. That is the cheapest fix — it costs some quality but no money.
No compatible GPU? Llama 3.2 11B Vision Instruct on 16 GB of system RAM, CPU only: runs.
Running Llama 3.2 11B Vision Instruct on this card:
Llama 3.2 11B Vision Instruct needs ~9 GB but this GPU has 8 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Llama 3.2 Family sizes on the NVIDIA GeForce RTX 5060
- Llama 3.2 90B Vision Instruct — does not fit (57.8 GB)
- Llama 3.2 3B Instruct — runs (3.7 GB)
- Llama 3.2 1B Instruct — runs (1.8 GB)
Llama 3.2 11B Vision Instruct on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — runs
All Llama 3.2 Family sizes on the NVIDIA GeForce RTX 5060 | Llama 3.2 11B Vision Instruct model page | NVIDIA GeForce RTX 5060 GPU page | VRAM calculator | Check your hardware