SmolVLM2
Smallest Video LM Ever from HuggingFace
About
The page is a Hugging Face collection titled "SmolVLM2 📺 Smallest video LM ever 🤏🏻". It serves as a central hub for resources related to the SmolVLM2 project, showcasing various models (e.g., 256M, 500M, 2.2B), interactive spaces (demos like SmolVLM2 HighlightGenerator), and specific implementations or optimizations (e.g., MLX community versions for iPhone, 8-bit quantized models). The collection is maintained by HuggingFaceTB and provides links to different model checkpoints and related tools, emphasizing its utility for video language model development and deployment.
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