Can I Run Nemotron Nano 12B 2 VL (free) on a NVIDIA RTX 3080 10GB?
Runs at Q4_K_M — good quality with reasonable headroom.
3 quantizations fit your 10.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 9.0 GB | 10.5 GB | 7.5 GB | +1.0 GB |
| Q3_K_M | 6.5 GB | 8.0 GB | 6.0 GB | +3.5 GB |
| Q2_K | 5.3 GB | 6.8 GB | 4.7 GB | +4.7 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 10.0GB.
FAQ
Can the NVIDIA RTX 3080 10GB run Nemotron Nano 12B 2 VL (free)?
Yes. The NVIDIA RTX 3080 10GB's 10.0GB of VRAM is enough to run Nemotron Nano 12B 2 VL (free) at Q4_K_M quantization (9.0GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 10.0GB. It uses about 9.0GB of memory and 10.5GB 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.