Qwen3 8B

Qwen3 8B is a dense causal language model built with 8.2 billion parameters and a 36-layer architecture. It is designed to provide a flexible user experience by allowing seamless switching between a specialized thinking mode for complex logical, mathematical, and coding tasks and a standard non-thinking mode for general-purpose dialogue. This dual-mode capability ensures the model remains efficient for everyday interactions while maintaining the depth required for intricate problem-solving and agent-based workflows, where it can integrate precisely with external tools.

The model is grounded in a robust training foundation that utilized approximately 36 trillion tokens of high-quality multilingual data, including web text, technical documentation, and synthetic domain-specific content. Following its initial pre-training, the model underwent a rigorous four-stage reinforcement process to refine its instruction-following and human preference alignment. These advancements enable the model to excel in creative writing, role-playing, and translation across more than 100 languages. Its compact size and strong performance make it a practical choice for on-device deployment and intelligent applications that require reliable reasoning and agentic intelligence.