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Jan

AI & Machine Learning

VPS上でオフラインで動作するオープンソースのChatGPTの代替品

デプロイメント情報

展開: 2-5分
カテゴリ: AI & Machine Learning
サポート: 24時間

このガイドを共有

概要

Jan is a groundbreaking open-source ChatGPT alternative designed to run completely offline on your VPS, providing enterprise-grade privacy and security for AI interactions. Unlike cloud-based AI services, Jan processes everything locally, ensuring sensitive data never leaves your infrastructure. Built with a modern interface, Jan supports LLaMA 2, Mistral, Mixtral, Phi-2, and other state-of-the-art models with full OpenAI API compatibility.

主要な特徴

Complete Offline Operation

Run AI models entirely on your VPS without internet dependency. Zero data leakage and complete privacy for sensitive conversations.

Multi-Model Support

Compatible with LLaMA 2, Mistral, Mixtral, Phi-2, Code LLaMA, and other popular open-source models.

OpenAI API Compatibility

Drop-in replacement for OpenAI API with support for completions and chat endpoints.

Hardware Optimization

GPU acceleration with efficient CPU fallback. Supports quantized GGUF models for resource-constrained VPS.

Privacy-First Architecture

Local conversation storage with no telemetry. Full data export and encryption support.

Cross-Platform UI

Modern Electron-based interface with web UI option for remote VPS access.

ユースケース

- Enterprise AI without cloud dependency for internal teams
- Healthcare applications maintaining HIPAA compliance through local processing
- Legal document analysis preserving attorney-client privilege
- Development coding assistants for proprietary codebases
- Education AI tutors with full control over data
- Financial services maintaining regulatory compliance

インストールガイド

Download Jan Linux binary from GitHub releases. Install dependencies and CUDA toolkit for GPU acceleration. Configure for remote access via API server on port 1337. Set up Nginx reverse proxy with SSL. Create systemd service for automatic startup. Download models through Jan interface or pre-cache GGUF files. Use quantized models (Q4_K_M or Q5_K_M) for optimal balance.

設定のヒント

Configuration stored in ~/.jan directory. Edit settings.json for API behavior. Set environment variables for GPU (CUDA_VISIBLE_DEVICES) and data folder (JAN_DATA_FOLDER). Enable API CORS for browser integrations. Customize system prompts via templates. Regular backups of conversations.db recommended. Monitor GPU memory and use process managers for automatic restart.

技術的要求事項

システム要件

  • メモリ: 8GB
  • CPU: 4 cores
  • ソリッドステートドライブ: 20GB

依存関係

  • ✓ Node.js 18.x+
  • ✓ CUDA toolkit (GPU)
  • ✓ Model files (3GB-20GB)

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