Home › Language Models › DeepSeek-V2

DeepSeek-V2 - AI Language Models Tool

Overview

DeepSeek-V2 is a Mixture-of-Experts (MoE) language model optimized for economical training and efficient inference. It contains 236 billion parameters and targets strong performance in text generation and conversational AI. The model is published on Hugging Face with documentation and usage information available on its model page.

Key Features

  • Mixture-of-Experts (MoE) architecture for conditional parameter activation
  • 236 billion total parameters
  • Designed for economical training and efficient inference
  • Strong performance across language-modeling benchmarks
  • Capabilities in text generation and conversational AI
  • Model page hosted on Hugging Face with documentation

Ideal Use Cases

  • Research comparing MoE and dense language models
  • Building large-scale conversational agents and chatbots
  • High-quality long-form text generation and summarization
  • Benchmarking model performance across NLP tasks

Getting Started

  • Open the model page at https://huggingface.co/deepseek-ai/DeepSeek-V2
  • Read the model card for architecture, weights, and license information
  • Follow usage examples or code snippets provided on the page
  • Run initial tests with small prompts to evaluate behavior

Pricing

Pricing not disclosed on the model page.

Key Information

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

Related Tools

Qwen2.5-7B

Qwen2.5-7B is a large language model designed for text generation, featuring improvements in coding, mathematics, instruction following, long text generation, and multilingual support. It supports context lengths up to 128K tokens and is intended for sophisticated NLP tasks.
DeepSeek-V3

An open-source language model from deepseek-ai offering efficient long-context inference with native sparse attention and support for multiple precisions.
Llama 3

Llama 3 is an open access large language model (LLM) released by Meta, available in various configurations (8B and 70B parameters) with capabilities for fine-tuning and integrations into platforms like Hugging Face, Google Cloud, and Amazon SageMaker.
UNfilteredAI-1B

A large-scale text generation model designed for creative and unconstrained content production without traditional filtering.
FLUX1.1 [pro]

A new text-to-image AI model capable of generating images six times faster than its predecessor, with higher quality, better prompt adherence, and more diversity in outputs. It includes a prompt upsampling feature that utilizes a language model to enhance prompts for improved image generation.
Shuttle-3

Shuttle-3 is a state-of-the-art language model designed for high-quality text generation, particularly suited for complex chat, multilingual communication, and reasoning tasks. It is fine-tuned from the Qwen-2.5-72b-Instruct model and designed to emulate high-quality prose similar to Claude 3 models.