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nhe-ai/Llasa-3B-mlx-8Bit
Llasa-3B-mlx-8Bit is a text-to-speech model from nhe-ai. Use it when you need text read aloud. It is set up for mlx. The card lists the license as cc-by-nc-4.0.
The Model nhe-ai/Llasa-3B-mlx-8Bit was converted to MLX format from HKUSTAudio/Llasa-3B using mlx-lm version 0.22.3.
Downloads · 30 days
19
18% of all-time downloads
All-time downloads
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.safetensors3.6 GB · 99%
How the weights are stored.
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From the Hugging Face model README
The Model nhe-ai/Llasa-3B-mlx-8Bit was converted to MLX format from HKUSTAudio/Llasa-3B using mlx-lm version 0.22.3.
⚠️ Important: 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.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("nhe-ai/Llasa-3B-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)