metadata
license: cc-by-nc-4.0
language:
- zh
- en
- de
- fr
- ja
- ko
- nl
- es
- it
- pt
- pl
base_model: HKUSTAudio/Llasa-1B-Multilingual
tags:
- Text-to-Speech
- mlx
- mlx-my-repo
pipeline_tag: text-to-speech
nhe-ai/Llasa-1B-Multilingual-mlx-8Bit
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.
Use with mlx
pip install mlx-lm
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)