README.md

metadata

license: apache-2.0
language:
  - en
pipeline_tag: text-generation
tags:
  - music
  - art
  - text-generation-inference
  - mlx
  - mlx-my-repo
base_model: m-a-p/YuE-s1-7B-anneal-zh-icl

mingz2022/YuE-s1-7B-anneal-zh-icl-Q4-mlx

The Model mingz2022/YuE-s1-7B-anneal-zh-icl-Q4-mlx was converted to MLX format from m-a-p/YuE-s1-7B-anneal-zh-icl using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mingz2022/YuE-s1-7B-anneal-zh-icl-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)