Alibaba’s Qwen team released the Qwen 3 model family, offering a range of sizes and capabilities. The article discusses the model's features, performance, and the well-coordinated release across the LLM ecosystem, highlighting the trend of better models running on the same hardware.
This document details how to run Qwen models locally using the Text Generation Web UI (oobabooga), covering installation, setup, and launching the web interface.
Qwen2.5-VL is a flagship model of the Qwen vision-language series, showcasing advancements in visual recognition, object localization, document parsing, and long-video comprehension. It introduces dynamic resolution processing and absolute time encoding, allowing it to handle complex inputs and maintain native resolution. Available in three sizes, it suits various applications from edge AI to high-performance computing, matching state-of-the-art models in document and diagram understanding while preserving strong linguistic capabilities.
Simon Willison reviews the new Qwen2.5-Coder-32B, an open-source LLM by Alibaba, which performs well on various coding benchmarks and can run on personal devices like his MacBook Pro M2.
