Running large language models (LLMs) locally offers enhanced data privacy, customization, and cost savings. This post covers the top six tools (LM Studio, Jan, Llamafile, GPT4ALL, Ollama, and LLaMa.cpp) that allow developers to run LLMs offline on Mac, Windows, and Linux platforms, providing features like advanced model customization, offline support, and integration with popular AI providers. Local LLM tools are useful in various scenarios, including telehealth and no-internet locations, ensuring data does not leave the local device.

•15m read time•From getstream.io
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Why Use Local LLMs?Top Six and Free Local LLM Tools1. LM Studio2. Jan3. Llamafile4. GPT4ALL5. Ollama6. LLaMa.cppLocal LLMs Use CasesEvaluating LLMs’ Performance To Run LocallyLocal LLM Tools Conclusion
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