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You Can Run These 16 LLMs Locally, No Questions Asked
- The article highlights 16 tools for running Local Language Models (LLMs) with a focus on privacy and support.
- It categorizes LLMs, SLMs, and LMMs based on their parameter sizes and multi-modal capabilities.
- Tools like H2O LLM Studio, LM Studio, and Ollama provide user-friendly GUIs for local LLM deployment.
- GPT4All and LocalAI offer open-source solutions for running powerful LLMs on consumer-grade hardware.
- Various tools such as Jan, text-generation-webui, and PrivateGPT cater to different user needs for local LLM serving.
- Innovative tools like WebLLM enable running LLMs directly in web browsers for privacy and offline use.
- References to tools like Hugging Face Transformers and Hugging Face App Market (Spaces) showcase foundational resources in the LLM space.
- Each tool discussed in the article comes with detailed descriptions and links for further exploration and adoption.
- With a focus on data privacy and local deployment, these tools empower users to utilize LLMs securely without external data transfer.
- The article concludes by emphasizing the transformative potential of Generative AI and the importance of selecting the right tool for impactful research.
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