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smallmodels.orgEfficient AI for Everyone

Your central hub for everything about small, efficient, and powerful AI models. We track advancements, provide guides, and foster a community around open-weight language and vision models.

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Why Small Models Matter

Small models are lightweight, fast, and ideal for on-device applications, offering enhanced privacy and reduced costs. They are democratizing AI by making it accessible to more developers and researchers.

Latest Research & Techniques

Stay up-to-date with the latest in model optimization, including knowledge distillation, quantization, and pruning. Learn about the architectural innovations that make these models so powerful.

Practical Guides & Tutorials

From fine-tuning to deployment on edge devices, our guides provide step-by-step instructions to help you build your own applications with small models.

Comprehensive Benchmarks

Compare the performance of different models across various hardware and tasks. Our benchmarks help you choose the right model for your needs.

Open Source & Community-Driven

We focus on open-weight models with permissive licenses and encourage community contributions. Join us in building a collaborative ecosystem for small AI.

Featured Models

Discover the most popular and promising small models, including the Phi series, Gemma, TinyLlama, and MobileViT. Get detailed information about their capabilities and use cases.

Gemma 3

Google's Gemma 3 models are the latest iteration of their open-weight language models, with multimodality and a large context window.

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Phi 4

Microsoft's Phi-4 family of small language models offers impressive performance at a low cost. They are instruction-tuned and ideal for a variety of language and code tasks.

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Qwen 3

An open-source series of large language models by Alibaba Cloud, with strong performance in multilingual support and long context handling.

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Community & Contribution ​

smallmodels.org is a community-driven project. We welcome contributions from everyone. Whether you're a researcher, developer, or enthusiast, you can help us build a better resource for the small AI community.

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