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TOP 15 local LLM: ranking and comparison

Are you excited about the potential of large language models (LLMs) like ChatGPT but concerned about privacy or eager to experiment on your own hardware? Running LLMs locally might be the perfect solution for you! Here’s a detailed guide to 15 incredible tools that make it easy and efficient.

In this post, we’ll explore various tools suited for different needs:

  • Ollama: Ideal for Mac and Linux users who want a simple command-line interface.
  • Huggingface Transformers: Best for those with a background in machine learning.
  • Langchain: Perfect for building AI applications with custom datasets.
  • Llama.cpp: Known for fast inference and wide OS support.
  • textgen-webui: Great for roleplay with customizable characters.
  • GPT4All: User-friendly GUI with document upload capabilities.
  • LM Studio: A sleek, free-to-use tool with fast token generation.
  • jan.ai: A new, clean UI alternative.
  • llm: A versatile CLI tool and Python library.
  • h2oGPT: Feature-rich with support for voice and vision models.
  • localllm: A tool from Google Cloud that also runs locally.
  • loLLMs: Integrates PDF, Stable Diffusion, and web search.
  • privateGPT: Mimics ChatGPT with PDF integration.
  • Chat with RTX: Nvidia’s solution for local file chatting.

Each tool is compared based on:

  • Ease of setup
  • Inference speed
  • Model support
  • Hardware compatibility
  • Open-source status

Check out our comprehensive comparison graphic and find the best tool for your needs. Don’t miss the detailed walkthroughs and tips on getting started!

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The links of the covered local LLMs:

  1. Ollama
  2. Transformers
  3. Langchain
  4. llama.cpp
  5. textgen-webui
  6. OpenLLM
  7. GPT4All
  8. LM Studio
  9. jan.ai
  10. llm
  11. h2oGPT
  12. Localllm
  13. loLLMs
  14. privateGPT
  15. Chat with RTX by Nvidia

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