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LLM FoundationsHard· Data Curation· Model Scaling· Pre-training
What is the trade-off between DCLM-baseline and Nemotro...
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See plansThe choice between these datasets depends on the target model size. DCLM-baseline provides higher average quality per token but is limited to 3.8 trillion tokens, which may constrain training for very large models. Nemotron-CC has a slightly lower average quality across its full 6.3T tokens but includes a 1T high-quality subset that matches DCLM’s quality. Therefore, DCLM is better for 7B models, while Nemotron-CC is superior for 70B+ models where token volume is the primary bottleneck.