NVIDIA
Hymba-1.5B-Instruct is a 1.5B parameter model finetuned from Hymba-1.5B-Base using a combination of open source instruction datasets and internally collected synthetic datasets. This model is finetuned with supervised fine-tuning and direct preference optimization.
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22.4
Quality Score
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Arena ELO
2B
Parameters
8K
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.
15 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 official provider benchmark evidence, but not a normalized independent benchmark table yet.
A full normalized benchmark row is not available for this model yet.
Official benchmark evidence is already available below, so this release is still being tracked while the normalized table catches up.
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1.6K
Downloads
247
Likes
Oct 2024
Released
5/5 signals
2/4 signals
2/5 signals
3/4 signals
3/4 signals
Parameters
2B
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/Hymba-1.5B-Instruct · Hugging Face
NVIDIA published benchmark or leaderboard evidence for Hymba-1.5B-Instruct.
View sourcenvidia/Hymba-1.5B-Instruct · Hugging Face
NVIDIA published benchmark or leaderboard evidence for Hymba-1.5B-Instruct.
View source