LLM Reference

DeepSeek MoE 16B

About

DeepSeek MoE 16B is a state-of-the-art Mixture-of-Experts language model featuring 16.4 billion parameters, designed to enhance natural language processing tasks such as text generation, translation, summarization, and question answering. This model employs innovative strategies like fine-grained expert segmentation and shared expert isolation to optimize efficiency, reducing computational costs by about 40% compared to similar models like LLaMA2 7B. It is trained on 2 trillion tokens and supports commercial use, offering extensive capabilities. Available on Hugging Face, the model—and its fine-tuned chat version—can operate on a single GPU with 40GB of VRAM, promising powerful performance with reduced resource demands. Preliminary analysis suggests its scalability could rival leading architectures such as GShard.

Capabilities

MultimodalFunction CallingTool UseJSON Mode

Specifications

Released2024-01-11
Parameters16B
ArchitectureMixture of Experts
Specializationgeneral