caiovicentino1/ekbasis-data
Ekbasis Data Papers: Look When Unsure, Check When Sure · DOI 10.5281/zenodo.23146970 · When Does a Consequence Model Make AI Agents Safer? · DOI 10.5281/zenodo.23197341 · Code: github.com/OpenInterpretability/ekbasis · Site: openinterp.org/ekbasis The data behind Ekbasis-27B, an open world model for agents: the rows its whole training lineage was trained on, and the sets it was evaluated on. Every answer in the generated rows was computed, not written: by a simulator for the… See the full description on the dataset page: https://huggingface.co/datasets/caiovicentino1/ekbasis-data.
| Author / organization | caiovicentino1 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 714 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 October 2026 |
| Last updated at source | 16 October 2026 |
Popularity, last 3 days
714 now (+56 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Ekbasis-Skopos-27B-GGUFModel · used to train
- mradermacher/Ekbasis-27B-GGUFModel · used to train
- caiovicentino1/Ekbasis-27BModel · used to train
- mradermacher/Ekbasis-Skopos-27B-i1-GGUFModel · used to train
- mradermacher/Ekbasis-27B-i1-GGUFModel · used to train
More from caiovicentino1
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 Information may be incomplete or out of date.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.