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A head-to-head benchmark comparison of DCLM 7B across 9 evaluations.
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 (DC.
Full DCLM 7B specs →| Benchmark | DCLM 7B |
|---|---|
| general | |
| MMLU | 63.72% |
| knowledge | |
| ARC-Challenge | 59.9 |
| ARC-Easy | 82.2 |
| TriviaQA | 52.7 |
| math | |
| GSM8K | 2.5% |
| reasoning | |
| GPQA Diamond | 24.75% |
| HellaSwag | 80.43 |
| PIQA | 81.28 |
| Winogrande | 72.69 |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
This comparison covers 9 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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