Use cases
- Building image-text-to-text applications
- Research and experimentation
- Open-source AI prototyping
Pros
- Open weights available
- Community support on HuggingFace
Cons
- Requires manual evaluation for production use
- Licensing terms vary — check model card
FAQ
What is SmolVLM-256M-Instruct used for?
Building image-text-to-text applications. Research and experimentation. Open-source AI prototyping.
Is SmolVLM-256M-Instruct free to use?
SmolVLM-256M-Instruct is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.
How do I run SmolVLM-256M-Instruct locally?
Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.
Tags
transformersonnxsafetensorsidefics3image-text-to-textconversationalendataset:HuggingFaceM4/the_cauldrondataset:HuggingFaceM4/Docmatixarxiv:2504.05299base_model:HuggingFaceTB/SmolLM2-135M-Instructbase_model:quantized:HuggingFaceTB/SmolLM2-135M-Instructlicense:apache-2.0endpoints_compatibleregion:us