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# Phi-3-mini: A Highly Capable Language Model for Your Phone

**[Collections](https://daily.dev/sources/collections)** · 1 min read · 3 upvotes · 0 comments

## Summary

Microsoft introduces Phi-3 Mini language model, collaborates with NVIDIA to accelerate it for efficient edge devices. Phi-3 Mini rivals larger models in performance and can be deployed on a phone. Offers lightweight generative AI technology for mobile devices.

## Content

Microsoft has introduced the Phi-3 family of small language models, with the Phi-3 Mini model being the initial release. NVIDIA is collaborating with Microsoft to accelerate the Phi-3 Mini open language model using NVIDIA TensorRT-LLM. This collaboration aims to make the model efficient for edge devices and assist in cost- and resource-constrained use cases. The Phi-3 Mini, with 3.8 billion parameters, rivals the performance of larger models such as Mixtral 8x7B and GPT-3.5 and can even be deployed on a phone. Developers can try the Phi-3 Mini variants at ai.nvidia.com. These smaller language models from Microsoft offer lightweight yet high-performing generative AI technology for mobile devices, providing personalization, security, and accuracy benefits for businesses. The Phi-3 models outperform larger language models on critical benchmarks and have applications in generative AI, education, and low-resource environments. However, they may not perform as well on factual knowledge benchmarks and are not specifically designed for in-depth knowledge retrieval. This launch demonstrates the surprising power of small, locally run AI language models that are simpler and less expensive to operate. With its impressive capabilities and cost-effectiveness, the Phi-3 Mini model redefines what is possible with small language models.

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning)

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