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Qwen 2.5 Architecture Overview by sylvio belzil is a document available to read on EtoBox.

Qwen 2.5 is a resource-efficient large language model (LLM) that significantly enhances AI capabilities with an expanded dataset of 18 trillion tokens and improved multilingual support, particularly for Asian languages. Its open-source nature fosters collaboration and accessibility, positioning it as a strong competitor against proprietary models like GPT-4 and Gemini 1.5, while its advanced architectural features enable efficient processing of multimodal inputs. The model

Author

sylvio belzil

Language

EN