vilm/Quyen-Mini-v0.1

Quyen-Mini-v0.1 by vilm is a 1.8 billion parameter causal language model based on the Qwen1.5 architecture, part of the Quyen LLM series. It was fine-tuned using Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) on a diverse dataset including OpenHermes-2.5 and Capyabara. This model is designed for general-purpose conversational AI, leveraging its training on high-quality instruction-following datasets.