Hugging Face· PlatformStory of the week

Vision Language Models (Better, faster, stronger)

This blog post surveys recent developments in Vision Language Models (VLMs) over the past year, covering new model trends such as any-to-any models, reasoning models, small yet capable models, and specialized capabilities. It highlights specific models including Qwen 2.5 Omni, MiniCPM-o 2.6, Janus-Pro-7B, QVQ-72B-preview, Kimi-VL-A3B-Thinking, SmolVLM, SmolVLM2, and gemma3-4b-it, and discusses new benchmarks like MMT-Bench and MMMU-Pro.

From the source

In this blog post, we’ll take a look back and unpack everything that happened with vision language models the past year. You’ll discover key changes, emerging trends, and notable developments.

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