mlx-community/h2o-danube3-500m-chat

The Model mlx-community/h2o-danube3-500m-chat was converted to MLX format from h2oai/h2o-danube3-500m-chat using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/h2o-danube3-500m-chat")

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)