# SmolVLM - small yet mighty Vision Language Model

DevFeed: [SmolVLM - small yet mighty Vision Language Model](<https://devfeed.tech/articles/smolvlm-small-yet-mighty-vision-language-model-7484.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/smolvlm>)

Author: Andres Marafioti; merve; Miquel Farré; Elie Bakouch; Pedro Cuenca

Published: 2024-11-26T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [smolvlm](<https://devfeed.tech/topics/smolvlm.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [multimodal-ai](<https://devfeed.tech/topics/multimodal-ai.md>), [Transformers](<https://devfeed.tech/topics/transformers.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [apache](<https://devfeed.tech/tags/apache.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [multimodal-ai](<https://devfeed.tech/tags/multimodal-ai.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [smolvlm](<https://devfeed.tech/tags/smolvlm.md>), [transformers](<https://devfeed.tech/tags/transformers.md>), [trl](<https://devfeed.tech/tags/trl.md>), [vision](<https://devfeed.tech/tags/vision.md>)

## AI overview

This article introduces SmolVLM, a family of small, fast, memory-efficient 2B vision-language models released fully open source under the Apache 2.0 license. It describes the model variants, architecture, training resources, Transformers integration, demo, fine-tuning script, and efficient local or on-device deployment.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.