Muyan TTS SFT Q8 0 GGUF

🚀 NikolayKozloff/Muyan-TTS-SFT-Q8_0-GGUF

This project offers a model converted to the GGUF format. It solves the problem of compatibility and efficient usage of the text - to - speech model in the GGUF format. By converting the original model, it enables users to leverage the benefits of the GGUF format for text - to - speech tasks.

🚀 Quick Start

This model was converted to GGUF format from MYZY-AI/Muyan-TTS-SFT using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

✨ Features

• Converted to GGUF format for better compatibility and performance.
• Can be used with llama.cpp for text - to - speech tasks.

📦 Installation

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

💻 Usage Examples

Basic Usage

CLI:

llama-cli --hf-repo NikolayKozloff/Muyan-TTS-SFT-Q8_0-GGUF --hf-file muyan-tts-sft-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo NikolayKozloff/Muyan-TTS-SFT-Q8_0-GGUF --hf-file muyan-tts-sft-q8_0.gguf -c 2048

Advanced Usage

You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL = 1 flag along with other hardware - specific flags (for ex: LLAMA_CUDA = 1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL = 1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo NikolayKozloff/Muyan-TTS-SFT-Q8_0-GGUF --hf-file muyan-tts-sft-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo NikolayKozloff/Muyan-TTS-SFT-Q8_0-GGUF --hf-file muyan-tts-sft-q8_0.gguf -c 2048

📚 Documentation

💡 Usage Tip

You can follow the steps in the Llama.cpp repo for more advanced usage and customization.