EXAONE-3.5-2.4B-Instruct-AWQ is a series of bilingual (English and Korean) instruction-tuned generative models developed by LG AI Research, with parameter sizes ranging from 2.4B to 32B. These models support long context processing of up to 32K tokens and demonstrate state-of-the-art performance in real-world use cases and long context understanding, while remaining competitive in general domains compared to similarly sized recently released models. The model has been optimized for deployment on small or resource-constrained devices and utilizes AWQ quantization technology, achieving 4-bit grouped weight quantization (W4A16g128).