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Table · dataset · 2025

stable-ai/bcco_cls

Listed in Hugging Face Datasets

LimiX-2M LimiX-2M is a 2M-parameter tabular foundation model (TFM) introduced in the paper LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models.

Description

It utilizes a unified tokenize-and-route framework to improve conditioning and shallow-layer effective rank, outperforming larger baselines on widely used tabular benchmarks.

Project

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Page: limix.ai/ GitHub Repository: github.com/limix-ldm-ai/LimiX Sample Usage… See the full description on the dataset page: huggingface.co/datasets/stable-ai/bcco_cls.

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Documentation and papers

Catalogue records · 1

Topics

Stated by source
other · tabular
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsstable-ai/bcco_cls14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:tabularmapping · Hugging Facevocabulary-mapper@1.0.0keywords['tabular']
concepts[task].hf_task:othersource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0