2026
CLM-LR-DRAFT-CHINCHILLA-1= N and D scale approximately together under the specified compute budgetASYMPTOTIC BOUNDTraining Compute-Optimal Large Language ModelsEvidence: 1 linked source records
SOURCE CONFIRMEDUnder a fixed compute budget, characterize the jointly compute-optimal model size and training-token count for a specified autoregressive language-model family and data regime.
Current frontiers derived from accepted Claims.
Assertions tied to evidence, attribution, and review.
The frontier as it changed over time.
Only accepted Claims matching the current specification contribute to the displayed bounds. Strict inequalities remain open; contradictory Claims require editorial review.