Vision Language Models (Better, faster, stronger)

📰 Hugging Face Blog

Vision Language Models are becoming better, faster, and stronger with new trends and architectures

intermediate Published 12 May 2025

Action Steps

Explore new model trends such as any-to-any models and reasoning models
Investigate the use of Smol yet Capable Models for efficient processing
Examine the application of Mixture-of-Experts as Decoders for improved performance
Research Vision-Language-Action Models for multimodal interaction

Who Needs to Know This

Data scientists, AI engineers, and researchers on a team can benefit from understanding the latest advancements in Vision Language Models to improve their applications and models

Key Insight

💡 Vision Language Models are becoming more powerful and efficient with new architectures and techniques

Key Takeaways

Vision Language Models are becoming better, faster, and stronger with new trends and architectures

Full Article

Published Time: 2025-05-12T00:00:00.568Z

# Vision Language Models (Better, faster, stronger)

[![Image 1: Hugging Face's logo](https://huggingface.co/front/assets/huggingface_logo-noborder.svg)Hugging Face](https://huggingface.co/)

* [Models](https://huggingface.co/models)
* [Datasets](https://huggingface.co/datasets)
* [Spaces](https://huggingface.co/spaces)
* [Buckets new](https://huggingface.co/storage)
* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
* [Pricing](https://huggingface.co/pricing)
*
*
* * *

* [Log In](https://huggingface.co/login)
* [Sign Up](https://huggingface.co/join)

[Back to Articles](https://huggingface.co/blog)

# Vision Language Models (Better, faster, stronger)

Published May 12, 2025

[Update on GitHub](https://github.com/huggingface/blog/blob/main/vlms-2025.md)

[- [x] Upvote 603](https://huggingface.co/login?next=%2Fblog%2Fvlms-2025)
* [![Image 2](https://cdn-avatars.huggingface.co/v1/production/uploads/5dd96eb166059660ed1ee413/NQtzmrDdbG0H8qkZvRyGk.jpeg)](https://huggingface.co/julien-c "julien-c")
* [![Image 3](https://cdn-avatars.huggingface.co/v1/production/uploads/1583857146757-5e67bdd61009063689407479.jpeg)](https://huggingface.co/clem "clem")
* [![Image 4](https://cdn-avatars.huggingface.co/v1/production/uploads/1589193099524-5eb910214e876668a0c377c1.jpeg)](https://huggingface.co/lserinol "lserinol")
* [![Image 5](https://cdn-avatars.huggingface.co/v1/production/uploads/1594144055859-5ee3a7cd2a3eae3cbdad1305.jpeg)](https://huggingface.co/yjernite "yjernite")
* [![Image 6](https://huggingface.co/avatars/845885bcd14a73f1f4a6559b2e63e241.svg)](https://huggingface.co/zanelim "zanelim")
* [![Image 7](https://cdn-avatars.huggingface.co/v1/production/uploads/5f43448a79c1ba4c353d0d8f/DiSygV3dn7A_OjmGVTrHD.jpeg)](https://huggingface.co/sugatoray "sugatoray")
* +597

[![Image 8: merve's avatar](https://cdn-avatars.huggingface.co/v1/production/uploads/6141a88b3a0ec78603c9e784/DJsxSmWV39M33JFheLobC.jpeg)](https://huggingface.co/merve)

[merve merve Follow](https://huggingface.co/merve)

[![Image 9: Sergio Paniego's avatar](https://cdn-avatars.huggingface.co/v1/production/uploads/61929226ded356549e20c5da/ONUjP2S5fUWd07BiFXm0i.jpeg)](https://huggingface.co/sergiopaniego)

[Sergio Paniego sergiopaniego Follow](https://huggingface.co/sergiopaniego)

[![Image 10: Aritra Roy Gosthipaty's avatar](https://cdn-avatars.huggingface.co/v1/production/uploads/608aabf24955d2bfc3cd99c6/-YxmtpzEmf3NKOTktODRP.jpeg)](https://huggingface.co/ariG23498)

[Aritra Roy Gosthipaty ariG23498 Follow](https://huggingface.co/ariG23498)

[![Image 11: Pedro Cuenca's avatar](https://cdn-avatars.huggingface.co/v1/production/uploads/1617264212503-603d25b75f9d390ab190b777.jpeg)](https://huggingface.co/pcuenq)

[Pedro Cuenca pcuenq Follow](https://huggingface.co/pcuenq)

[![Image 12: Andres Marafioti's avatar](https://cdn-avatars.huggingface.co/v1/production/uploads/65d66b494bbd0d92b641cdbb/6-7dm7B-JxcoS1QlCPdMN.jpeg)](https://huggingface.co/andito)

[Andres Marafioti andito Follow](https://huggingface.co/andito)

## * [Motivation](https://huggingface.co/blog/vlms-2025#motivation "Motivation")

* [Table of Contents](https://huggingface.co/blog/vlms-2025#table-of-contents "Table of Contents")

* [New model trends](https://huggingface.co/blog/vlms-2025#new-model-trends "New model trends")

* [Any-to-any models](https://huggingface.co/blog/vlms-2025#any-to-any-models "Any-to-any models")
* [Reasoning Models](https://huggingface.co/blog/vlms-2025#reasoning-models "Reasoning Models")

* [Smol yet Capable Models](https://huggingface.co/blog/vlms-2025#smol-yet-capable-models "Smol yet Capable Models")

* [Mixture-of-Experts as Decoders](https://huggingface.co/blog/vlms-2025#mixture-of-experts-as-decoders "Mixture-of-Experts as Decoders")

* [Vision-Language-Action Models](https://huggingface.co/blog/vlms-2025#vision-language-action-mo

Read full article → ← Back to Reads

Vision Language Models (Better, faster, stronger)

Key Takeaways

Full Article

Related Videos