Model profile
Nvidia Nemotron Nano 9B V2
Evidence summary
Nvidia Nemotron Nano 9B V2 has an estimated overall rank of #200; its 90% source-sensitivity interval is #14–#255. Its behavior-only rank is #199; company governance moves the combined estimate to #200. Published evidence spans 3 evals and 2 of 7 behavior components. Its strongest relative result is AA-Omniscience (hallucination_rate, #73 of 311); its weakest is BullshitBench v2 (clear_pushback_rate, #100 of 105).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗nvidia-nemotron-nano-9b-v2
- Hugging Face ↗nvidia/NVIDIA-Nemotron-Nano-9B-v2
- NVIDIA ↗qc69jvmznzxy/nvidia-nemotron-nano-9b-v2
- Official model page ↗Exact model document · Reviewed official Hugging Face owner · official repository
- Release source ↗repository created at proxy
Published eval results
Rank is within that sub-eval. Black marks the observed result; the grey dot marks the value implied by the global rank. Values stay on each source’s native scale.
| Eval / sub-eval | Rank | Value | Distribution | Better | Source |
|---|---|---|---|---|---|
| AA-Omnisciencehallucination_rate | #73 / 311 | 0.6101 | ↓ lower | Source ↗official | |
| BullshitBench v2clear_pushback_rate | #100 / 105 | 0.04 | ↑ higher | Source ↗official | |
| Cisco AI Defense Rolling Single-Turn Leaderboardsingle_turn_attack_success_rate | #77 / 105 | 59.27 | ↓ lower | Source ↗official |
Values evaluations
Descriptive values and political-framing results are separate from safety/ethics ranks. Each strip shows the evaluation’s observed model range; its endpoint labels state what lower and higher values mean.