Qwen3 14B

Qwen3-14B is a dense 14.8 billion parameter causal language model that marks a significant step forward in the Qwen series. What sets it apart is its ability to seamlessly switch between a thinking mode for complex logical reasoning, mathematics, and coding, and a non-thinking mode for efficient, general-purpose dialogue—all within a single model. The architecture features 40 layers with grouped query attention (40 heads for queries, 8 for key-value pairs), and supports a native context length of 32,768 tokens. This flexibility allows developers to handle varied workloads without deploying separate models, whether they need deep analytical problem-solving or quick conversational responses.

Built through both pretraining and post-training stages, Qwen3-14B delivers reasoning capabilities that surpass its predecessors, including earlier QwQ thinking models and Qwen2.5 instruct variants, across mathematics, code generation, and commonsense logical reasoning. The model excels in agent-based tasks, enabling precise integration with external tools in both thinking and unthinking modes—achieving leading performance among open-source models in complex agent workflows. It demonstrates strong human preference alignment, performing well in creative writing, role-playing, multi-turn dialogues, and instruction following. With support for over 100 languages and dialects, Qwen3-14B is available as open weights under the Apache 2.0 license, with quantized GGUF versions offering more accessible deployment options for resource-constrained environments.