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DeepSeek-V3 - AI Language Models Tool

Overview

DeepSeek-V3 is an open-source language model from deepseek-ai that provides efficient long-context inference. It implements native sparse attention and supports multiple numerical precisions to help optimize inference performance.

Key Features

  • Open-source model hosted on Hugging Face
  • Efficient long-context inference
  • Native sparse attention for reduced compute on long sequences
  • Supports multiple numerical precisions for flexible inference
  • Model page includes documentation and artifacts

Ideal Use Cases

  • Processing long documents and extended context inputs
  • Research into sparse-attention architectures and optimization
  • Prototyping long-context summarization or question answering
  • Evaluating inference precision trade-offs
  • Integrating with Hugging Face workflows and toolchains

Getting Started

  • Visit the Hugging Face model page for DeepSeek-V3.
  • Read the repository README and model documentation.
  • Download or pull the model using Hugging Face tools.
  • Follow provided examples or notebooks to run an initial inference.
  • Test long-context inputs and adjust precision settings accordingly.

Pricing

No pricing disclosed. Model is open-source; hosting and inference costs depend on chosen provider or infrastructure.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
Visit Official Website

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