Apple
DCLM-Baseline-7B is a 7 billion parameter language model trained on the DCLM-Baseline dataset, which was curated as part of the DataComp for Language Models (DCLM) benchmark. This model is designed to showcase the effectiveness of systematic data curation techniques for improving language model performance.
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Quality Score
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Arena ELO
7B
Parameters
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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.
12 of 22 public signals
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339
Downloads
834
Likes
Jul 2024
Released
4/5 signals
0/4 signals
2/5 signals
3/4 signals
3/4 signals
Parameters
7B
Training compute
1.1e23 FLOP
Dataset scale
2.5T units
Base model
Not reported
Source-reported access: Open weights (restricted use) · Confident confidence
Gaps we are still tracking
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