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Navveen Balani Making systems intelligent, efficient & responsible

Are you looking to experiment and run Large Language Models (LLMs)…

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Are you looking to experiment and run Large Language Models (LLMs) locally? Running LLMs on your own machine is a fantastic way to explore AI capabilities while gaining full control over customization, performance, and costs.

Here are some tools to help you get started with running LLMs locally:

🔹 LM Studio: A beginner-friendly tool for running models like Llama and Mistral. LM Studio offers an intuitive interface, customizable model parameters, and is completely free to use—making it ideal for newcomers. Learn more - https://lmstudio.ai/

🔸 Llamafile: Developed by Mozilla, Llamafile converts LLMs into executable files, allowing for fast, efficient deployment without installation. It’s cost-effective, cross-platform, and requires no subscription, making it an excellent option for anyone looking to avoid recurring costs. Explore here - https://lnkd.in/dWdGZKwr

🔺 Jan: This open-source, offline tool supports various AI models. Jan offers advanced configuration options, runs on multiple platforms, and is free—providing developers complete control over their experiments. Check it out - https://jan.ai/

These tools offer flexibility, advanced customization, and significant cost savings by eliminating the need for subscription services.

Here’s my local setup, running Mistral on LM Studio. What tools are you using to run LLMs?

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