Can I Run Llama 3.2 90B Vision Instruct on NVIDIA GeForce RTX 5060?
Written by Jakub Rusinowski · Last updated August 15, 2026
No. Llama 3.2 90B Vision Instruct needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 5060 has only 8 GB. No quantization we publish closes a gap that size.
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The numbers
| Model | Llama 3.2 90B Vision Instruct |
| Parameters | 90B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 57.8 GB |
| NVIDIA GeForce RTX 5060 VRAM | 8 GB |
| Verdict | Does not fit |
Llama 3.2 90B Vision Instruct on the NVIDIA GeForce RTX 5060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 181.8 GB | ✗ No | — | — |
| Q8_0 | 98.5 GB | ✗ No | — | — |
| Q6_K | 77 GB | ✗ No | — | — |
| Q5_K_M | 67.1 GB | ✗ No | — | — |
| Q4_K_M | 57.8 GB | ✗ No | — | — |
| Q3_K_M | 42 GB | ✗ No | — | — |
| Q2_K | 33.3 GB | ✗ No | — | — |
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 57.8 GB ✗ · 32K 67.8 GB ✗ · 125K 106.8 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
Either step down to a smaller size in this family, or move to a NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB), the card with the least memory we track that holds it.
No compatible GPU? Llama 3.2 Family on 8 GB of system RAM, CPU only: runs.
Llama 3.2 90B Vision Instruct needs ~58 GB but this GPU has 8 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:
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Other Llama 3.2 Family sizes on the NVIDIA GeForce RTX 5060
- Llama 3.2 11B Vision Instruct — runs at a lower quant (8.5 GB)
- Llama 3.2 3B Instruct — runs (3.7 GB)
- Llama 3.2 1B Instruct — runs (1.8 GB)
Llama 3.2 90B Vision Instruct on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — does not fit
All Llama 3.2 Family sizes on the NVIDIA GeForce RTX 5060 | Llama 3.2 90B Vision Instruct model page | NVIDIA GeForce RTX 5060 GPU page | VRAM calculator | Check your hardware