magpie-tts.cpp-gguf distributes self-contained GGUF builds of NVIDIA’s Magpie TTS Multilingual 357M model for local inference with magpie-tts.cpp. The files bundle the model and supporting tokenizer and decoder assets, enabling developers to generate speech across multiple languages without Python or CUDA.
In the Text to speech space, Magpie Tts.cpp takes a focused approach. It focuses on running multilingual text-to-speech locally without Python, PyTorch, NeMo, or CUDA dependencies. Magpie Tts.cpp is an open-source project aimed at developers building local text-to-speech applications. Magpie Tts.cpp is open source under the MIT license. Magpie Tts.cpp is available on the web and the command line, and it can be self-hosted.
It is developed by LocalAI team, and it first shipped in 2023. The project is developed in the open on GitHub with 48.8k stars and 1.2k commits in the last 90 days. Key capabilities include Multilingual TTS, GGUF weights, and local inference.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do