Qwen3-8B-AWQ is a 8.2 billion parameter language model quantized to 4-bit using AWQ quantization. It is the latest generation in the Qwen series, offering a unique seamless switching capability between thinking mode for complex logical reasoning, mathematics, and coding, and non-thinking mode for efficient general-purpose dialogue, all within a single model. The model demonstrates significant advancements in reasoning, instruction-following, agent capabilities, and multilingual support across 100+ languages and dialects. It supports context lengths of up to 32,768 tokens natively and can extend to 131,072 tokens using YaRN scaling. Key features include enhanced reasoning capabilities that surpass previous models like QwQ and Qwen2.5 on mathematics and code generation tasks, superior human preference alignment for creative writing and multi-turn dialogue, strong agent capabilities for precise tool integration, and multilingual instruction-following abilities. The AWQ quantization reduces the model's memory footprint while maintaining strong performance characteristics, making it suitable for deployment on resource-constrained hardware while preserving the reasoning and instruction-following capabilities of the base Qwen3-8B model.