Instructions to use ollaya-dev/coba-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use ollaya-dev/coba-1b with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Card: about 400,000 questions in 344,000 states
Browse files
README.md
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@@ -79,9 +79,9 @@ outputs on 2,383 questions (every decision the same, probabilities within 4.9e-6
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- **Network**: Laya's (`laya` 0.3.7): the question, a `[MASK]` before every option and the state in one
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sequence of up to 512 tokens; a two-layer transformer head scores each option at its marker. Encoder:
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Ettin 1b (ModernBERT architecture, MIT).
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- **Data**: about
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CC BY, CC BY-SA, CC0, BSD; every source and its license is in `DATA_SOURCES.tsv`).
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datasets with a non-commercial or unknown license were dropped.
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- **Labels**: each question's gold answer where the data has one, mixed with the full probability distribution
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of `pplx-decider:flash` (Apache-2.0), computed through Ollaya.
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- **Recipe**: soft cross-entropy plus the ranked probability score on score questions; options shuffled half the
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- **Network**: Laya's (`laya` 0.3.7): the question, a `[MASK]` before every option and the state in one
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| 80 |
sequence of up to 512 tokens; a two-layer transformer head scores each option at its marker. Encoder:
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Ettin 1b (ModernBERT architecture, MIT).
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- **Data**: about 400,000 English questions in 344,000 states from permissively licensed decision datasets
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(Apache-2.0, MIT, CC BY, CC BY-SA, CC0, BSD; every source and its license is in `DATA_SOURCES.tsv`).
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Rows from datasets with a non-commercial or unknown license were dropped.
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| 85 |
- **Labels**: each question's gold answer where the data has one, mixed with the full probability distribution
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| 86 |
of `pplx-decider:flash` (Apache-2.0), computed through Ollaya.
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| 87 |
- **Recipe**: soft cross-entropy plus the ranked probability score on score questions; options shuffled half the
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