introlix/Swiftlet
SwiftLet is a lightweight Python framework for running open-source Large Language Models (LLMs) locally using safetensors
SwiftLet helps machine learning engineers and researchers experiment with and learn about Large Language Models by running them directly on their local computers. It takes open-source LLMs as input and allows users to explore their behavior and outputs without needing external libraries. This tool is for those who want a deep understanding of how LLMs work or need to prototype new ideas quickly.
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Use this if you are a machine learning engineer or researcher who wants to run and understand open-source Large Language Models locally for learning or prototyping without complex dependencies.
Not ideal if you need a production-ready LLM deployment, high-performance inference, or integration with external tools and complex data formats.
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Python
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Last pushed
Aug 06, 2025
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