Local LLM Tools

Ollama

• Easy-to-use tool for running LLMs locally
• https://ollama.ai/
• Features:
  • One-line model installation
  • Multiple model support
  • API access
  • GPU acceleration
  • Cross-platform (Mac, Windows, Linux)

LM Studio

• Desktop application for running LLMs
• https://lmstudio.ai/
• Features:
  • User-friendly GUI
  • Model management
  • Chat interface
  • API compatibility with OpenAI
  • Performance optimization

Text Generation WebUI

• Web interface for running LLMs
• https://github.com/oobabooga/text-generation-webui
• Features:
  • Multiple model formats support
  • Extension system
  • Character creation
  • Training interface
  • API endpoints

GPT4All

• Ecosystem for running open-source LLMs
• https://gpt4all.io/
• Features:
  • Desktop application
  • Python/C++ bindings
  • Cross-platform support
  • Multiple model support
  • Low hardware requirements

LocalAI

• Self-hosted AI solution
• https://localai.io/
• Features:
  • OpenAI API compatibility
  • Multiple model support
  • Docker support
  • GPU acceleration
  • Custom model loading

Verba

• Local LLM tool by Weaviate
• https://github.com/weaviate/Verba
• Features:
  • Document Q&A
  • RAG capabilities
  • Vector search
  • Easy deployment

koboldcpp

• Lightweight LLM runner
• https://github.com/LostRuins/koboldcpp
• Features:
  • Low resource usage
  • Multiple model formats
  • Command-line interface
  • Windows/Linux support

Additional Tools

Model Management

• HuggingFace Transformers CLI
• ModelScope
• FastChat

Hardware Optimization

• GGML tools
• llama.cpp
• AutoGPTQ

Considerations for Local LLM Setup

Hardware Requirements

• CPU vs GPU requirements
• RAM