Can I Run Nemotron 3 Nano 30B A3B (free) on a NVIDIA RTX A5000?
Runs at Q4_K_M — good quality with reasonable headroom.
2 quantizations fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 20.2 GB | 21.7 GB | 24.5 GB | +3.8 GB |
| Q3_K_L | 15.1 GB | 16.6 GB | 20.8 GB | +8.9 GB |
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Top-ranked open-source models that fit in 24.0GB.
FAQ
Can the NVIDIA RTX A5000 run Nemotron 3 Nano 30B A3B (free)?
Yes. The NVIDIA RTX A5000's 24.0GB of VRAM is enough to run Nemotron 3 Nano 30B A3B (free) at Q4_K_M quantization (20.2GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 24.0GB. It uses about 20.2GB of memory and 21.7GB 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.