from mlx_lm import load, generate

model, tokenizer = load("snsnc/Qwopus3.5-9B-Coder-MLX")

prompt = "Write a short Python function that returns the factorial of a number."

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages,
        add_generation_prompt=True,
        return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
print(response)

Use with mlx-serve

pip install -U mlx-serve

bash

mlx-serve \
  --model hf://snsnc/Qwopus3.5-9B-Coder-MLX \
  --serve \
  --host 0.0.0.0 \
  --port 11234

Upstream

Original model: Jackrong/Qwopus3.5-9B-Coder