by forkjoin-ai
Open source · 164 downloads · 0 likes
The Qwen3 TTS 12Hz 0.6B Base model is an optimized version of the Qwen3 text-to-speech model designed for edge deployment, converted to the GGUF format for efficient local device operation. It enables natural voice generation from text with reduced latency, making it ideal for embedded applications or environments without cloud access. Key use cases include voice assistants, speech-based user interfaces, and accessibility tools, while ensuring enhanced privacy through local processing. This model stands out for its lightweight design (0.6 billion parameters) and ability to operate at 12 Hz, striking a balance between performance and resource requirements. It is released under the Apache 2.0 license, compatible with both commercial and open-source applications.
Forkjoin.ai conversion of Qwen/Qwen3-TTS-12Hz-0.6B-Base to GGUF format for edge deployment.
./llama-cli -m qwen3-tts-12hz-0.6b-base-gguf.gguf -p "Your prompt here" -n 256
Create a Modelfile:
FROM ./qwen3-tts-12hz-0.6b-base-gguf.gguf
ollama create qwen3-tts-12hz-0.6b-base-gguf -f Modelfile
ollama run qwen3-tts-12hz-0.6b-base-gguf
Forkjoin.ai runs AI models at the edge -- in-browser, on-device, zero cloud cost. These converted models power real-time inference, speech recognition, and natural language capabilities.
All conversions are optimized for edge deployment within browser and mobile memory constraints.
Apache 2.0 (follows upstream model license)