Quyen-v0.1 is a 4 billion parameter instruction-tuned causal language model developed by vilm, based on the Qwen1.5 family. This model was trained using Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) on a diverse dataset including OpenHermes-2.5 and Capyabara. It is designed for general-purpose conversational AI, leveraging its fine-tuning for enhanced instruction following and response quality.
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