Qwen3 14B Base Qwen3 Highlights Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture of experts (MoE) models. Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following key improvements over the previously released Qwen2.5: Expanded Higher Quality Pre training Corpus: Qwen3 is pre trained on 36 trillion tokens across 119 languages — tripling the language coverage of Qwen2.5 — with a much richer mix of high quality data, including coding, STEM, reasoning, book, multilingual, and synthetic data. Training Techniques and Model Architecture: Qwen3 incorporates a series of training techiques and architectural refinements, including global batch load balancing loss for MoE models and qk layernorm for all models, leading to improved stability and overall performance. Three stage Pre training: Stage 1 focuses on broad language modeling and general knowledge acquisition, Stage 2 improves reasoning skills like STEM, coding, and logical reasoning, and Stage 3 enhances long context comprehension by extending training sequence lengths up to 32k tokens.…
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