The drudilorenzo/mcqa_sft model is a 0.5 billion parameter language model developed by drudilorenzo. This model is fine-tuned for multiple-choice question answering (MCQA) tasks, leveraging its compact size for efficient deployment. With a substantial context length of 131,072 tokens, it is designed to process extensive input for complex question-answering scenarios. Its primary strength lies in accurately selecting answers from given options, making it suitable for automated assessment and information extraction.
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Hugging Face