Can I Run Llama 3.2 Vision on NVIDIA GeForce RTX 3070 Ti?
Written by Jakub Rusinowski · Last updated September 29, 2026
Only with offload — Llama 3.2 Vision 11B at Q4_K_M needs 8.5 GB at 8K context (6.4 GB weights + 2.1 GB KV cache/overhead) against the NVIDIA GeForce RTX 3070 Ti's 8 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
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NVIDIA GeForce RTX 3070 Ti Specs
| VRAM | 8 GB |
| Memory Bandwidth | 608 GB/s |
Llama 3.2 Vision 11B on the NVIDIA GeForce RTX 3070 Ti: 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 3070 Ti: 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.
No compatible GPU? Llama 3.2 Vision 11B on 8 GB of system RAM, CPU only: runs.
Why It Does Not Fit
Every Llama 3.2 Vision variant requires more VRAM than the NVIDIA GeForce RTX 3070 Ti provides (8 GB).
Nearest GPU That Fits
NVIDIA GeForce RTX 3080 (10GB) (10 GB VRAM).
Llama 3.2 Vision 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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FAQ
Does the NVIDIA GeForce RTX 3070 Ti have enough VRAM for Llama 3.2 Vision?
Only with offload — Llama 3.2 Vision 11B at Q4_K_M needs 8.5 GB at 8K context (6.4 GB weights + 2.1 GB KV cache/overhead) against the NVIDIA GeForce RTX 3070 Ti's 8 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
Which GPU can actually run Llama 3.2 Vision?
The NVIDIA GeForce RTX 3080 (10GB) (10 GB VRAM) is the cheapest upgrade that fits it.
Every Llama 3.2 Vision size on the NVIDIA GeForce RTX 3070 Ti
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Llama 3.2 Vision 90B | 57.8 GB | Does not fit | — |
| Llama 3.2 Vision 11B | 8.5 GB | Runs at Q3_K_M | — |
Llama 3.2 Vision on Other GPUs
- Llama 3.2 Vision on NVIDIA GeForce RTX 5060 Ti 8GB
- Llama 3.2 Vision on NVIDIA GeForce RTX 5060
- Llama 3.2 Vision on NVIDIA GeForce RTX 4060
- Llama 3.2 Vision on NVIDIA GeForce RTX 3070
- Llama 3.2 Vision on AMD Radeon RX 9060 XT 8GB
Popular Models on the NVIDIA GeForce RTX 3070 Ti
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VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Out of memory at long context (the KV cache, not the weights)
Buying Guide
← Can I Run It? | Llama 3.2 Vision Model Page | NVIDIA GeForce RTX 3070 Ti GPU Page | VRAM calculator | Check Your Hardware