DQN-Labs/dqncode_v0.4_prototype

This model DQN-Labs/dqncode_v0.4_prototype was converted to MLX format from alexgusevski/granite-3.2-2b-instruct-q4-mlx using mlx-lm version 0.31.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("DQN-Labs/dqncode_v0.4_prototype")

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)