Llasa 1B Multilingual Mlx 8Bit

🚀 nhe-ai/Llasa-1B-Multilingual-mlx-8Bit

This model is converted to MLX format for text - to - speech tasks, enabling multilingual speech synthesis.

🚀 Quick Start

The Model nhe-ai/Llasa-1B-Multilingual-mlx-8Bit was converted to MLX format from HKUSTAudio/Llasa-1B-Multilingual using mlx-lm version 0.22.3.

⚠️ Important Note

This model was automatically converted for experimentation. The following guide was not designed for this model and may not work as expected. Do not expect to function out of the box. Use at your own experimentation.

📦 Installation

pip install mlx-lm

💻 Usage Examples

Basic Usage

from mlx_lm import load, generate

model, tokenizer = load("nhe-ai/Llasa-1B-Multilingual-mlx-8Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

📄 License

This model is under the CC-BY-NC-4.0 license.