stable-ai/bcco_cls
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. 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 Page: https://www.limix.ai/ GitHub Repository: https://github.com/limix-ldm-ai/LimiX Sample Usage… See the full description on the dataset page: https://huggingface.co/datasets/stable-ai/bcco_cls.
| Author / organization | stable-ai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 447 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 26 August 2025 |
| Last updated at source | 4 June 2026 |
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