DeepSeek-V2-Lite is a smaller, more efficient variant of the DeepSeek-V2 large language model. It uses a mixture-of-experts architecture to deliver strong performance while requiring fewer resources for inference. The model supports chat interactions and is available on Hugging Face for developers to integrate into applications.
In the Foundation models & chat space, DeepSeek V2 Lite takes a focused approach. It focuses on running a high-capacity language model with significantly reduced computational cost compared to dense models of similar performance. DeepSeek V2 Lite is an open-source project aimed at developers. DeepSeek V2 Lite is open source under the MIT license. It ships for the web, the command line, and API, and it can be self-hosted.
It is developed by DeepSeek (China), and it first shipped in 2024. The project is developed in the open on GitHub with 5k stars. It operates in a well-populated space: PulseGate tracks 10 similar projects. Key capabilities include mixture of Experts, Efficient Inference, and Chat Template. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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