Dataset · Hugging Face

Nickyang/RazorCal

Name: RazorCal
Creator: Nickyang
License: other
Keywords: task_categories:text-generation, language:en, language:zh, license:other, size_categories:n<1K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2609.30465, region:us, calibration, model-compression

RazorCal RazorCal is a general-purpose calibration corpus released with RAZOR. RazorCal.json contains 2,048 samples across seven domains (about 8 MB). Each record includes input messages and source attribution. The records carry no architecture-specific fields, so the corpus also suits FFN or layer pruning, perplexity measurement and other calibration-based compression; RAZOR uses it to estimate per-expert statistics. Reasoning traces are omitted because the calibration… See the full description on the dataset page: https://huggingface.co/datasets/Nickyang/RazorCal.

View on Hugging FaceReport an issue

Author / organization	Nickyang
License (as declared)	other
Downloads	157 (as reported by Hugging Face)
Likes	1
Created	29 September 2026
Last updated at source	29 September 2026

calibrationmodel-compressionpruningmixture-of-expertsmoe

Embed this entry

<iframe src="https://silytics.si/embed/item/4cd2aceb-3447-40b7-bfce-e4dcde2b5e99" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

157 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

RAZOR: Pruning Replaceable Experts in LLMsPaper · cites

Explore this entry in the graph

Related papers

RAZOR: Pruning Replaceable Experts in LLMsPaper

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 Information may be incomplete or out of date.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.