Their contributions have enabled us to build a more robust and efficient project. We would like to express our gratitude to the developers of these packages and their contributors for making their work available to the public under open source licenses. "alpaca-lora-7b" by Hugging Face - a pre-trained language model for the Alpaca protocol. "alpaca-lora" by tloen - a Python library for working with LoRa radios and the Alpaca protocol. It’s created and maintained by GitHub and it’s.
"Alpaca" by Stanford CRFM - a framework for understanding and improving the efficiency and robustness of algorithms. Electron.js is a popular platform for building cross-platform desktop apps for Windows, Linux and macOS with JavaScript, HTML, and CSS. "LLAMA" by Facebook Research - a low-latency, large-scale approximate nearest neighbor search algorithm. "alpaca.cpp" by antimatter15 - a C++ library for Alpaca API. This project utilizes several open-source packages and libraries, without which this project would not have been possible: Yarn docker Working Video video.mov Credits
0 kommentar(er)
