A new project named Tiny-vLLM has been launched, focusing on high-performance inference for large language models (LLMs).
This engine is designed to maximize efficiency and speed, utilizing C++ and CUDA technologies to achieve optimized performance.
Tiny-vLLM is available as an open-source project on GitHub, inviting developers to explore its capabilities and contribute.