Can I Run Llama 3.2 11B Vision Instruct on NVIDIA GeForce RTX 3060 (12GB)?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026

Yes. Llama 3.2 11B Vision Instruct needs 6.4 GB at Q4_K_M and the NVIDIA GeForce RTX 3060 (12GB) has 12 GB, leaving about 5.6 GB of headroom, at roughly 30 tok/s (estimated) with room for up to 16K of context.

See what else this hardware can run →

The numbers

Llama 3.2 11B Vision Instruct on the NVIDIA GeForce RTX 3060 (12GB): VRAM by quantization

Assumes a 4K-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 12 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 3060 (12GB): 8K 8.5 GB · 32K 12.6 GB ✗ · 125K 28.2 GB ✗. Past 32K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

What to do next

Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.

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:

Other Llama 3.2 Family sizes on the NVIDIA GeForce RTX 3060 (12GB)

• Llama 3.2 90B Vision Instruct — does not fit (53.6 GB)
• Llama 3.2 3B Instruct — runs (1.9 GB)
• Llama 3.2 1B Instruct — runs (0.7 GB)

Llama 3.2 11B Vision Instruct on nearby hardware

• Intel Arc B570 (10 GB) — runs
• NVIDIA A100 80GB (80 GB) — runs

All Llama 3.2 Family sizes on the NVIDIA GeForce RTX 3060 (12GB) | Llama 3.2 11B Vision Instruct model page | NVIDIA GeForce RTX 3060 (12GB) GPU page | Check your hardware