#python#deep_learning#inference#llm#nlp#pytorch#transformer
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
Bitcoin ETFs See Major Inflow Reversal
On January 15, Bitcoin spot ETFs recorded a net inflow of $755 million, marking the first inflow after four days of outflows. The Fidelity ETF (FBTC) led the charge, attracting $463 million. Meanwhile, Ethereum products also saw inflows, totaling $59.78 million.
Forecasts from HashKey Group predict Bitcoin could hit $300,000 by 2025 and Ethereum $8,000, with overall market cap reaching $10 trillion. Analyst insights suggest the Litecoin ETF may be next for approval in the US.
For more details, visit the link.
#Bitcoin#ETF#Cryptocurrency#Ethereum#Investing#Finance#MarketTrends#HashKey#Litecoin#Fidelity#CryptoForecast#AI#VC