NVIDIA
In this repo, we are open-sourcing Eagle2-1B, a compact and efficient model designed for scenarios requiring fast inference and minimal computational resources, without compromising essential performance
Running this yourself: can likely run on your own machine.
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34.9
Quality Score
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Arena ELO
1B
Parameters
16K
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.
17 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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432
Downloads
33
Likes
Jan 2025
Released
5/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
1B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
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.
nvidia/Eagle2-1B · Hugging Face
NVIDIA published benchmark or leaderboard evidence for Eagle2-1B.
View sourcenvidia/Eagle2-1B · Hugging Face
NVIDIA published benchmark or leaderboard evidence for Eagle2-1B.
View source