Qwen2.5-1.5B-Instruct-Summarizer-4bit

wallster88888/Qwen2.5-1.5B-Instruct-Summarizer-4bit

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("wallster88888/Qwen2.5-1.5B-Instruct-Summarizer-4bit")

prompt = "hello"

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)