Llama-3.2-1B-Proactive-Classifier-Aug-mlx-fp16

tuochao/Llama-3.2-1B-Proactive-Classifier-Aug-mlx-fp16

The Model tuochao/Llama-3.2-1B-Proactive-Classifier-Aug-mlx-fp16 was converted to MLX format from tuochao/Llama-3.2-1B-Proactive-Classifier-Aug using mlx-lm version 0.21.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("tuochao/Llama-3.2-1B-Proactive-Classifier-Aug-mlx-fp16")

prompt = "hello"

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

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