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DeepSeek-MoE - AI Language Models Tool

Overview

DeepSeek-MoE 16B is a Mixture-of-Experts language model with 16.4B parameters. It uses fine-grained expert segmentation and shared experts isolation to reach comparable performance to larger models while using around 40% of typical computations. The repository provides base and chat variants, evaluation benchmarks, and integration instructions for use with Hugging Face Transformers.

Key Features

  • 16.4B-parameter Mixture-of-Experts language model
  • Fine-grained expert segmentation
  • Shared experts isolation to reduce redundancy
  • Comparable performance using around 40% of typical computations
  • Includes base and chat model variants
  • Evaluation benchmarks included in repository
  • Integration instructions for Hugging Face Transformers

Ideal Use Cases

  • Research efficient Mixture-of-Experts architectures
  • Develop chatbots using the chat variant
  • Benchmark performance against larger models
  • Explore inference cost reductions and trade-offs
  • Integrate with Hugging Face model pipelines

Getting Started

  • Clone the GitHub repository
  • Read the README and model documentation
  • Install required dependencies listed in repository
  • Follow Hugging Face Transformers integration instructions
  • Run included evaluation benchmarks to verify model behavior
  • Test base and chat variants in your environment

Pricing

Pricing not disclosed in the repository.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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