NVIDIA Nemotron 3 Nano 4B
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.
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
1.8
AA Index
Coding
0.0
AA Index
Agentic
0.4
AA Index
Intelligence Index - NVIDIA Nemotron 3 Nano 4B vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Coding Index comparison
Agentic Index comparison
Benchmark data from Artificial Analysis · updated 2026-10-31.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| GPQA Diamond | 51.3 |
| HLE | 4.9 |
| SciCode | 16.1 |
| IFBench | 58.2 |
| Terminal-Bench | 6.8 |
Source: Artificial Analysis component evals - updated 2026-10-31.
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
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Deep dive
Notes, sources, and the full write-up
NVIDIA Nemotron 3 Nano 4B is a 4B-parameter other model from NVIDIA. It scores 1.8 on the Artificial Analysis Intelligence Index (coding 0). At Q4_K_M it needs roughly 2 GB of VRAM, placing it in the CPU / ≤4 GB hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - NVIDIA Nemotron 3 Nano 4B vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| NVIDIA Nemotron 3 Nano 4B | 1.8 | 0 | 51.3 |
| Gemini 4 Carbon | 59.4 | 50.4 | - |
| Claude Opus 5.5 | 58.4 | 51.7 | - |
| GPT-6 Astra | 56.9 | 49.1 | 96.1 |
| GPT-6.1 Sol | 54.5 | 46.8 | - |
| Claude Sonnet 5.5 | 54.2 | 50.5 | - |
Source: Artificial Analysis (2026-10-31).
Popularity
NVIDIA Nemotron 3 Nano 4B has 1,886,221 downloads in the last month on HuggingFace and 142 likes.
Frequently asked
Quick answers to common questions
How much VRAM does NVIDIA Nemotron 3 Nano 4B need?
NVIDIA Nemotron 3 Nano 4B 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 better than other nvidia models?
NVIDIA Nemotron 3 Nano 4B has 4B parameters with 262,144 context - a strong choice for general use.
What license is NVIDIA Nemotron 3 Nano 4B under?
NVIDIA Nemotron 3 Nano 4B is released under the other license, making it suitable for most commercial and personal projects.
What hardware runs NVIDIA Nemotron 3 Nano 4B well?
With 4B parameters, NVIDIA Nemotron 3 Nano 4B 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?
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's context window handle?
NVIDIA Nemotron 3 Nano 4B 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?
NVIDIA Nemotron 3 Nano 4B 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