Zero-Shot Classification
Safetensors
PEFT
English
openjev
classification
decision-model
listwise
gemma4
research
Instructions to use bambamdevs/openjev-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bambamdevs/openjev-e4b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download CITATION.cff from bambamdevs/openjev-e4b: direct link, hf CLI and curl.
- Browser
- Download file 675 Bytes
-
https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/CITATION.cff
- Command line
-
hf download hf://bambamdevs/openjev-e4b/CITATION.cff
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curl -L -o CITATION.cff https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/CITATION.cff
675 Bytes
| cff-version: 1.2.0 | |
| message: "If you use this model or methodology, please cite this release." | |
| title: "OpenJEV E4B" | |
| type: software | |
| version: "1.0" | |
| date-released: 2026-09-27 | |
| authors: | |
| - name: "OpenJEV contributors" | |
| license: Apache-2.0 | |
| abstract: >- | |
| OpenJEV E4B 1.0 is a direct-decision model built on Gemma 4 E4B. | |
| The Experiment 1 report documents the method, choice-panel evaluation, | |
| results with confidence intervals, and reproduction protocol. | |
| preferred-citation: | |
| type: report | |
| title: "OpenJEV E4B: Training a direct-decision readout on Gemma 4 E4B. Experiment 1 method, evaluation, and results" | |
| authors: | |
| - name: "OpenJEV contributors" | |
| year: 2026 | |
| month: 9 | |