license, language, base_model, datasets, pipeline_tag, tags, library_name

license	language	base_model	datasets	pipeline_tag	tags	library_name
apache-2.0	en	futurehouse/ether0	futurehouse/ether0-benchmark	text-generation	smiles chemistry reasoning mlx	mlx

mlx-community/ether0-bf16

This model mlx-community/ether0-bf16 was converted to MLX format from futurehouse/ether0 using mlx-lm version 0.25.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/ether0-bf16")

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)