llasa
Collection
collection of copies/quants of the llasa tts models. See this repo https://github.com/nivibilla/local-llasa-tts
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5 items
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Updated
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1
The Model srinivasbilla/llasa-3b-Q4-mlx was converted to MLX format from srinivasbilla/llasa-3b using mlx-lm version 0.20.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("srinivasbilla/llasa-3b-Q4-mlx")
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)