zhenye234/LLaSA_training
LLaSA: Scaling Train-time and Inference-time Compute for LLaMA-based Speech Synthesis
- Stars
- 657
- Forks
- 49
- Open issues
- 36
- Last push
- 9mo ago
About LLaSA_training
LLaSA_training is a free, open-source AI voice and audio tool by zhenye234, written mainly in Python. LLaSA: Scaling Train-time and Inference-time Compute for LLaMA-based Speech Synthesis. It has 657 GitHub stars and 49 forks, and was last updated 9mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 657
- Last update
- 9mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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LLaSA_training FAQ
Is LLaSA_training free?
Yes. LLaSA_training is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does LLaSA_training run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does LLaSA_training need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is LLaSA_training still maintained?
It was last updated 9mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to LLaSA_training?
Similar free, open-source tools include Speech, mlx-audio, VoxCPM, ChatTTS.