TPPIsCriticalFor/colinear_scaling_models
Collinear/Non-Collinear Scaling Models Checkpoint repository for scaling law experiments comparing collinear (CO) and non-collinear (NC) experimental designs for the paper Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law Extrapolation under review for NeurIPS 2026. Code Anonymized code repository (reproduces all tables): anonymous.4open.science Directory Structure {dataset}/{design}/N_{param_count}/ Dataset: wikipedia, pes2o… See the full description on the dataset page: https://huggingface.co/datasets/TPPIsCriticalFor/colinear_scaling_models.
| Author / organization | TPPIsCriticalFor |
|---|---|
| License (as declared) | gpl-2.0 |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 30 April 2026 |
| Last updated at source | 7 May 2026 |
Recent changes
- 16 Oct 2026 Description: Collinear/Non-Collinear Scaling Models Checkpoint repository for scaling law experiments comparing collinear (CO) and non-collinear (NC) experimental designs for the paper Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law → Collinear/Non-Collinear Scaling Models Checkpoint repository for scaling law experiments comparing collinear (CO) and non-collinear (NC) experimental designs for the paper Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law
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