Leaderboard / NVIDIA
Nemotron 3 Nano 4B
NVIDIA · Nemotron 3 · released 2026 · data checked 2026-11-01 Needs verification
Nemotron 3 Nano 4B is a 4B-parameter dense model from NVIDIA (United States), released 2026 under the NVIDIA Open Model license. It doesn't have enough reported benchmarks for an index score yet. It needs about 3.8 GB of memory at 4-bit with an 8K-token context.
Benchmarks
Each bar shows this model's score. The tick marks the best tiny model on that benchmark.
No benchmark results for this release yet. Know of one? Send it.
Specifications
- Lab
- NVIDIA (US · United States)
- Architecture
- Dense transformer
- Total parameters
- 4B
- Active parameters
- All (dense)
- Size class
- Tiny
- Context window
- 262K tokens
- Input modalities
- text
- Reasoning
- Hybrid (thinking on/off)
- License
- NVIDIA Open Model
- Openness
- Open weights
- Memory to run
- ~3.8 GB at 4-bit, 8K context (more sizes)
Compare with
- Nemotron 3 Nano 4B vs Qwen3.5 4B (4B, index 57.8)
- Nemotron 3 Nano 4B vs Qwen3 4B Thinking 2507 (4B, index 55.7)
- Nemotron 3 Nano 4B vs Nemotron Labs Dory 1.0 4B (4B, index 60.0)
Sources
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Run it locally
No quantized build from a well-known publisher yet; check the model card for instructions.
Memory needed: weights, context cache and runtime buffers (context cache estimated: attention layout not published).
| Quantization | 4K context | 32K context | 256K context |
|---|---|---|---|
| 16-bit F16 | 9.0 GB | 12 GB | 33 GB |
| 8-bit Q8_0 | 5.2 GB | 7.8 GB | 29 GB |
| 4-bit Q4_K_M | 3.4 GB | 6.0 GB | 27 GB |