HuggingFaceTB/SmolVLM2-500M-Video-Instruct
image-text-to-text model by HuggingFaceTB
From the publisher
Model card & documentation
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SmolVLM2-500M-Video is a lightweight multimodal model designed to analyze video content. The model processes videos, images, and text inputs to generate text outputs - whether answering questions about media files, comparing visual content, or transcribing text from images. Despite its compact size, requiring only 1.8GB of GPU RAM for video inference, it delivers robust performance on complex multimodal tasks. This efficiency makes it particularly well-suited for on-device applications where computational resources may be limited. SmolVLM2 can be used for inference on multimodal (video / image / text) tasks where the input consists of text queries along with video or one or more images. Text and media files can be interleaved arbitrarily, enabling tasks like captioning, visual question answering, and storytelling based on visual content. The model does not support image or video generation. To fine-tune SmolVLM2 on a specific task, you can follow the fine-tuning tutorial. We evaluated the performance…
Read the full model card ↗ · Preview checked 2026-10-30T06:20:26.340Z
Inside the original model card — Document outline
- SmolVLM2-500M-Video
- Model Summary
- Resources
- Uses
- Evaluation
- How to get started
- Simple Inference
- Video Inference
- Multi-image Interleaved Inference
- Model optimizations
- Misuse and Out-of-scope Use
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
HuggingFaceTB/SmolVLM2-500M-Video-Instruct is a image-text-to-text model repository published by HuggingFaceTB on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 1,629,716
- Cumulative likes
- 201
- Hugging Face trending score
- 2
- Reported safetensors parameters
- 507,482,304
- Architecture
- SmolVLMForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-02-11T07:06:38.000Z
- Last modified
- 2025-04-08T07:25:40.000Z
Compatibility and lineage
Reported languages: en
Reported base models: HuggingFaceTB/SmolVLM-500M-Instruct
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.