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DeepSeek-Coder-V2 - AI Language Models Tool

Overview

DeepSeek-Coder-V2 is an open-source Mixture-of-Experts code language model designed to enhance code generation and reasoning. It provides an extended 128K token context window and supports a wide array of programming languages, positioned as competitive with closed-source models like GPT-4 Turbo.

Key Features

  • Open-source Mixture-of-Experts (MoE) architecture
  • Optimized for code generation and program reasoning
  • Extended 128K token context window
  • Supports a wide array of programming languages
  • Positioned competitively versus closed-source GPT-4 Turbo

Ideal Use Cases

  • Long-context multi-file code generation and refactoring
  • Complex debugging and code reasoning tasks
  • Language-agnostic code completion across many languages
  • Research on MoE architectures and model comparisons
  • Self-hosted inference or local deployment (open-source)

Getting Started

  • Open the model page on Hugging Face (deepseek-ai/DeepSeek-Coder-V2-Base)
  • Read the model card, capabilities, and license information
  • Download weights or use Hugging Face inference endpoints if available
  • Test with small prompts before scaling to large context lengths
  • Monitor resource requirements for Mixture-of-Experts deployments

Pricing

Pricing is not disclosed in the provided data. Check the Hugging Face model listing for hosting or commercial options.

Key Information

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