NVIDIA-Nemotron-3-Nano-4B-BF16
Q4 GGUF download: mradermacher/NVIDIA-Nemotron-3-Nano-4B-BF16-GGUF - 2.84 GB on disk, read 2026-10-30. VRAM figures above are estimates; this is the actual file size.
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
vllm serve nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16New to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
NVIDIA-Nemotron-3-Nano-4B-BF16 is a 4B-parameter other model from nvidia. At Q4_K_M it needs roughly 2 GB of VRAM, placing it in the CPU / ≤4 GB hardware tier.
PopularityLink to this section
NVIDIA-Nemotron-3-Nano-4B-BF16 has 754,841 downloads in the last month on HuggingFace and 93 likes.
Frequently asked
Quick answers to common questions
How much VRAM does NVIDIA-Nemotron-3-Nano-4B-BF16 need?
NVIDIA-Nemotron-3-Nano-4B-BF16 with 4B parameters needs approximately 2 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is NVIDIA-Nemotron-3-Nano-4B-BF16 better than other nvidia models?
NVIDIA-Nemotron-3-Nano-4B-BF16 has 4B parameters with 262,144 context - a strong choice for general use.
What license is NVIDIA-Nemotron-3-Nano-4B-BF16 under?
NVIDIA-Nemotron-3-Nano-4B-BF16 is released under the other license, making it suitable for most commercial and personal projects.
What hardware runs NVIDIA-Nemotron-3-Nano-4B-BF16 well?
With 4B parameters, NVIDIA-Nemotron-3-Nano-4B-BF16 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for NVIDIA-Nemotron-3-Nano-4B-BF16?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~3 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can NVIDIA-Nemotron-3-Nano-4B-BF16's context window handle?
NVIDIA-Nemotron-3-Nano-4B-BF16 supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with NVIDIA-Nemotron-3-Nano-4B-BF16?
NVIDIA-Nemotron-3-Nano-4B-BF16 competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec