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paperbd/neuraltxt-reward-tiny

Text Classification·paperbd· 427
transformers mit Text Classification 22.7M params

A small, fast reward model fine-tuned on research paper Q&A data. Scores responses on a 0-1 scale by comparing them against a reference answer. Note that this is an answer-equivalence model that is trained to match correctness and completeness of input answer. Do not use this for style-matching tasks.

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# pull & run locally
pip install mlforge-sdk && mlforge pull paperbd/neuraltxt-reward-tiny

Model details

Task
Text Classification
Provider
paperbd
Framework
transformers
Parameters
22.7M
Size
87 MB
License
mit
Downloads
427
Updated
2026-06-10

About paperbd/neuraltxt-reward-tiny

A small, fast reward model fine-tuned on research paper Q&A data. Scores responses on a 0-1 scale by comparing them against a reference answer. Note that this is an answer-equivalence model that is trained to match correctness and completeness of input answer. Do not use this for style-matching tasks.

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