NVIDIA
We introduce AceInstruct, a family of advanced SFT models for coding, mathematics, and general-purpose tasks. The AceInstruct family, which includes AceInstruct-1.5B, 7B, and 72B, is Improved using Qwen . These models are fine-tuned on Qwen2.5-Base using general SFT datasets.
Running this yourself: can likely run on your own machine.
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40.8
Quality Score
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Arena ELO
2B
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.
16 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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496
Downloads
26
Likes
Jan 2025
Released
4/5 signals
3/4 signals
3/5 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/AceInstruct-1.5B · Hugging Face
NVIDIA published benchmark or leaderboard evidence for AceInstruct-1.5B.
View sourcenvidia/AceInstruct-1.5B · Hugging Face
NVIDIA published benchmark or leaderboard evidence for AceInstruct-1.5B.
View source