datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gemma4-mtp-quality-study
Gemma 4 MTP Quality–Throughput Study
Author: Taiko Toeda, Independent ResearcherORCID: https://orcid.org/0009-0001-7267-0201Version: 1.0.0DOI: 10.5281/zenodo.21860461
This Dataset repository distributes the sanitized processed measurements from
an independent paired benchmark of QAT Q4_0 Gemma 4 12B IT and 26B-A4B IT on
one RTX 5070 Ti using pinned CUDA llama.cpp commit
7ba604f1cb61cd14898138e9abc0b4ff2601f180.
Included data
request-level timing, throughput… See the full description on the dataset page: https://huggingface.co/datasets/moebiusT7/gemma4-mtp-quality-study.l0-essentials-compact-ablation
L0 Essentials compact ablation — raw rows
Row-level outputs from ablating the MOBIUS MMV L0 Essentials governance prompt
on six local models, three axes (tool loop / false premise / abstain chat), with
the scorer sources and the pre-registered predictions.
Status: experimental; not adversarially reviewed. The scorers had five
documented defects during the work (all fixed, rows rescored); raw outputs are
included so you can rescore with your own instrument.
Headline… See the full description on the dataset page: https://huggingface.co/datasets/moebiusT7/l0-essentials-compact-ablation.