The hkust-nlp/deita-quality-scorer is a 7 billion parameter model developed by HKUST NLP, fine-tuned from Llama-1-13b-hf. This model is specifically designed to automatically annotate the instruction quality of instruction-response pairs in Supervised Fine-Tuning (SFT) data. It serves as a crucial tool for automatic data selection in Large Language Model instruction tuning, primarily supporting English language tasks.
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