Can I Run Nemotron Nano 12B 2 VL (free) on a NVIDIA RTX 2080 Ti?
Runs at Q5_K_M — good quality with reasonable headroom.
4 quantizations fit your 11.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 10.4 GB | 11.9 GB | 8.8 GB | +0.6 GB |
| Q4_K_M | 9.0 GB | 10.5 GB | 7.5 GB | +2.0 GB |
| Q3_K_M | 6.5 GB | 8.0 GB | 6.0 GB | +4.5 GB |
| Q2_K | 5.3 GB | 6.8 GB | 4.7 GB | +5.7 GB |
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Top-ranked open-source models that fit in 11.0GB.
FAQ
Can the NVIDIA RTX 2080 Ti run Nemotron Nano 12B 2 VL (free)?
Yes. The NVIDIA RTX 2080 Ti's 11.0GB of VRAM is enough to run Nemotron Nano 12B 2 VL (free) at Q5_K_M quantization (10.4GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 11.0GB. It uses about 10.4GB of memory and 11.9GB 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.