Home › Language Models › DeepSeek-Coder-V2-Lite-Instruct

DeepSeek-Coder-V2-Lite-Instruct - AI Language Models Tool

Overview

DeepSeek-Coder-V2-Lite-Instruct is an open-source Mixture-of-Experts (MoE) code language model that delivers advanced code intelligence for generation and understanding. It is positioned for coding tasks and described as providing functionalities comparable to GPT-4-Turbo for developer workflows.

Key Features

  • Open-source code language model
  • Mixture-of-Experts (MoE) architecture
  • Advanced code intelligence for generation and understanding
  • Designed for diverse coding tasks comparable to GPT-4-Turbo
  • Available on the Hugging Face model hub

Ideal Use Cases

  • Code completion and generation
  • Code explanation and documentation generation
  • Refactoring and code modernization suggestions
  • Unit-test and example generation
  • Debugging assistance and error diagnosis
  • Code translation between programming languages
  • IDE integration for developer productivity

Getting Started

  • Open the model page on Hugging Face.
  • Read the README and license details.
  • Download weights or use hosted inference if available.
  • Integrate the model into your inference pipeline or toolchain.
  • Run small prompts and evaluate outputs on representative code.

Pricing

No pricing disclosed. The model is open-source; hosting, inference, or commercial-use costs depend on your chosen provider.

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.