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Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware.
https://github.com/GeeeekExplorer/nano-vllm
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Mathematicians found that many formulas used to calculate π are connected.
About 43% of known π formulas come from one main form. Another 51% belong to related groups.
This shows many π formulas are not separate. They share common structures in math.
π is still an infinite number with no repeating digits.
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[Read more]
@googlefactss
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