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Introducing Qwen 2.5 and VLM: Powerful New AI Models from Alibaba
Artificial intelligence is advancing at a rapid pace, with new and more capable models being released frequently. Among the latest developments are the Qwen 2.5 language models and vision language models (VLM) from Alibaba. These powerful new AI models are gaining recognition for their impressive capabilities across a wide range of tasks.
In this post, we’ll explore what makes Qwen models special and how you can start experimenting with them.
Overview of Qwen Models
Qwen models represent a significant step forward in AI capabilities. They are pre-trained and instruction-tuned models available in seven different sizes, ranging from 0.5 billion parameters up to a massive 72 billion parameters. This variety allows developers and researchers to choose the right balance of capability and computational requirements for their specific use case.
One of the standout features of Qwen models is their multilingual support. Unlike many open-source models that focus primarily on English, Qwen models cover an impressive 29 languages. This includes Arabic, Persian, Turkish, Russian, Japanese, Korean, and many others, making them truly global in scope.
