Can I Run Llama 3.2 11B Vision on a NVIDIA RTX 3070 Ti?
Runs at Q4_K_M — good quality with reasonable headroom.
1 quant fit your 8.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 7.7 GB | 9.2 GB | 6.7 GB | +0.3 GB |
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FAQ
Can the NVIDIA RTX 3070 Ti run Llama 3.2 11B Vision?
Yes. The NVIDIA RTX 3070 Ti's 8.0GB of VRAM is enough to run Llama 3.2 11B Vision at Q4_K_M quantization (7.7GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 8.0GB. It uses about 7.7GB of memory and 9.2GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.