Show HN: A leaderboard of most popular open-weight LLMs (osolmaz-leaderboard.hf.space)

A new leaderboard has emerged showcasing the popularity of open-weight Large Language Models (LLMs), highlighting models like Qwen's series and Google's Gemma as frontrunners in monthly usage. The top-ranked model, Qwen3-VL-2B-Instruct, boasts 26.1 million monthly visits, while Google's Gemma-4 variants follow closely behind, affirming the competitive landscape in the AI space. This leaderboard not only rates models by their popularity but also serves as a valuable resource for researchers and developers looking to explore open-source alternatives to proprietary systems. The significance of this leaderboard lies in its potential to guide the AI/ML community in choosing models that are popular among practitioners, possibly indicating higher effectiveness or usability. With the listed models demonstrating varying parameters, such as Qwen's 2.13 billion parameters in its top model and Gemma's all the way up to 32.7 billion, users can evaluate trade-offs in size versus performance. This transparency promotes enhanced collaboration and experimentation, making advanced LLMs more accessible for a broader range of applications in fields like natural language processing, machine learning research, and beyond.