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bobig/orpheus-finetuned-3b-mlx-6Bit
orpheus-finetuned-3b-mlx-6Bit is a text-to-speech model from bobig. Use it when you need text read aloud. It is set up for transformers. The card lists the license as apache-2.0.
The Model bobig/orpheus-finetuned-3b-mlx-6Bit was converted to MLX format from srinivasbilla/orpheus-finetuned-3b using mlx-lm version 0.26.4.
Downloads · 30 days
19
11% of all-time downloads
All-time downloads
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How the weights are stored.
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From the Hugging Face model README
The Model bobig/orpheus-finetuned-3b-mlx-6Bit was converted to MLX format from srinivasbilla/orpheus-finetuned-3b using mlx-lm version 0.26.4.
Yeah, it works, but not very good. Choppy speech.
Here is an alternative that works well:
https://huggingface.co/mradermacher/orpheus-finetuned-3b-GGUF
the Q4_M can run 100% CPU on Mac M4 Max using 10 Performance cores.
Save your GPU for one of NightMedia's MLX quants.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("bobig/orpheus-finetuned-3b-mlx-6Bit")
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)