Home › Language Models › DeepSeek-V2

DeepSeek-V2 - AI Language Models Tool

Overview

DeepSeek-V2 is a Mixture-of-Experts (MoE) language model with 236B total parameters, designed for economical training and efficient inference. It offers strong text-generation and conversational capabilities and is listed on Hugging Face at https://huggingface.co/deepseek-ai/DeepSeek-V2.

Key Features

  • Mixture-of-Experts (MoE) architecture for conditional computation
  • 236B total parameters
  • Designed for economical training and efficient inference
  • Expert routing to reduce inference compute
  • Strong text-generation and conversational capabilities
  • Suitable for fine-tuning and MoE research

Ideal Use Cases

  • Building cost-efficient conversational agents
  • Generating long-form content and summaries
  • Researching MoE training and scaling behavior
  • Prototyping high-capacity language features with reduced compute
  • Benchmarking against other large language models

Getting Started

  • Open the model page on Hugging Face.
  • Read the model card and usage instructions.
  • Download assets or access the model via the provided API.
  • Run example scripts or minimal inference tests.
  • Fine-tune using an MoE-aware training pipeline if required.

Pricing

Pricing and hosting costs are not disclosed in the provided model metadata. Check the Hugging Face model page or your hosting provider for licensing and pricing details.

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.
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.
WizardLM

WizardLM is a state-of-the-art large language model designed for complex chat, multilingual tasks, reasoning, and agent functionalities. It features an AI-powered pipeline (Auto Evol-Instruct) that optimizes instruction datasets for improved performance across various domains and leverages Arena Learning for an expanded learning pool of challenging instruction data.