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This blog post introduces SmolVLM, a 2B VLM, SOTA for its memory footprint. SmolVLM is small, fast, memory-efficient, and fully open-source. All model checkpoints, VLM datasets, training recipes and tools are released under the Apache 2.0 license.

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ComputerVision804/smolvlm-realtime-camera

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smolvlm-realtime-camera

This repository is a simple demo for how to use llama.cpp server with SmolVLM 500M to get real-time object detection

How to setup Install llama.cpp Run llama-server -hf ggml-org/SmolVLM-500M-Instruct-GGUF Note: you may need to add -ngl 99 to enable GPU (if you are using NVidia/AMD/Intel GPU) Note (2): You can also try other models here Open index.html Optionally change the instruction (for example, make it returns JSON) Click on "Start" and enjoy

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This blog post introduces SmolVLM, a 2B VLM, SOTA for its memory footprint. SmolVLM is small, fast, memory-efficient, and fully open-source. All model checkpoints, VLM datasets, training recipes and tools are released under the Apache 2.0 license.

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