leibnitz-lab/4d-llm-grid-metrics

4D LLM Scaling-Law Grid: Run Metrics Per-step training metrics from a four-dimensional grid of small language-model pretraining runs, produced for the scaling-law study "Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law Extrapolation". The archive was moved here from the lab-v2/4d_llm_grid code repository to keep the large binary metric files out of Git. Contents metrics/ holds 462 gzipped CSV files (~2.4 GB), one per training run. Filenames… See the full description on the dataset page: https://huggingface.co/datasets/leibnitz-lab/4d-llm-grid-metrics.

<iframe src="https://silytics.si/embed/item/aa5baab2-58e0-46f2-a6ed-746191fd85a7" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.