NVIDIA
NVIDIA-Nemotron-Nano-12B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response.
Running this yourself: desktop gpu should be enough.
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51.8
Quality Score
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Arena ELO
12B
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
19 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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9.3K
Downloads
167
Likes
Aug 2025
Released
5/5 signals
3/4 signals
4/5 signals
3/4 signals
4/4 signals
Parameters
12B
Training compute
1.5e24 FLOP
Dataset scale
21.1T units
Base model
Not reported
Source-reported access: Open weights (restricted use) · Confident confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
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View sourcenvidia/NVIDIA-Nemotron-Nano-12B-v2 · Hugging Face
NVIDIA published benchmark or leaderboard evidence for NVIDIA-Nemotron-Nano-12B-v2.
View sourcenvidia/NVIDIA-Nemotron-Nano-12B-v2 · Hugging Face
NVIDIA published benchmark or leaderboard evidence for NVIDIA-Nemotron-Nano-12B-v2.
View source