Qwen3 14b Boosted by openSUSE MultiCortex HPC

ABOUT QWEN3:

Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

• Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios.
  
  
• Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking mode) on mathematics, code generation, and commonsense logical reasoning.
  
  
• Superior human preference alignment, excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a more natural, engaging, and immersive conversational experience.
  
  
• Expertise in agent capabilities, enabling precise integration with external tools in both thinking and unthinking modes and achieving leading performance among open-source models in complex agent-based tasks.
  
  
• Support of 100+ languages and dialects with strong capabilities for multilingual instruction following and translation. Qwen 3-14b has the following features:
  
  
• Type: Causal Language Models
  
  
• Training Stage: Pretraining & Post-training
  
  
• Number of Parameters: 14.8B
  
  
• Number of Paramaters (Non-Embedding): 13.2B
  
  
• Number of Layers: 40
  
  
• Number of Attention Heads (GQA): 40 for Q and 8 for KV
  
  
• Context Length: 32,768 natively and 131,072 tokens with YaRN.