awesome-local-llm and Awesome-LLM-Resources-List
These are complementary resources that serve different focuses: the first specializes in infrastructure and deployment for running LLMs locally, while the second provides a broader applied AI engineering resource collection that would benefit from but isn't dependent on local-first approaches.
About awesome-local-llm
rafska/awesome-local-llm
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
This is a curated collection of resources for running large language models (LLMs) on your own computer or local infrastructure. It provides access to various platforms, tools, and models that allow you to process natural language input and generate text, code, or even images and audio locally. This resource is for developers, researchers, and hobbyists who want to leverage LLMs without relying on external cloud services.
About Awesome-LLM-Resources-List
ilsilfverskiold/Awesome-LLM-Resources-List
A Curated Collection of resources for applied AI engineering (work in progress).
This collection helps AI engineers and practitioners navigate the rapidly evolving landscape of Large Language Model (LLM) tools and platforms. It provides curated lists for hosting private or open-source LLMs, accessing off-the-shelf models via API, and performing local inference. The output is a clear overview of options, features, and pricing to help you make informed decisions for your projects.
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