Can I Run Nemotron Nano 12B 2 VL (free) on a NVIDIA RTX 3080 Ti?
Runs comfortably at Q6_K — minimal quality loss.
5 quantizations fit your 12.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 11.9 GB | 13.4 GB | 10.1 GB | +0.1 GB |
| Q5_K_M | 10.4 GB | 11.9 GB | 8.8 GB | +1.6 GB |
| Q4_K_M | 9.0 GB | 10.5 GB | 7.5 GB | +3.0 GB |
| Q3_K_M | 6.5 GB | 8.0 GB | 6.0 GB | +5.5 GB |
| Q2_K | 5.3 GB | 6.8 GB | 4.7 GB | +6.7 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 12.0GB.
FAQ
Can the NVIDIA RTX 3080 Ti run Nemotron Nano 12B 2 VL (free)?
Yes. The NVIDIA RTX 3080 Ti's 12.0GB of VRAM is enough to run Nemotron Nano 12B 2 VL (free) at Q6_K quantization (11.9GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 12.0GB. It uses about 11.9GB of memory and 13.4GB 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.