tranquangt174/ElderVBot

ElderVBot by tranquangt174 is a 1.5 billion parameter instruction-tuned causal language model based on the Qwen2.5-1.5B-Instruct architecture, supporting Vietnamese, Chinese, and English. With a context length of 131072 tokens, this model is designed for multilingual conversational applications. It leverages its compact size and extensive context window for efficient processing across its supported languages.