metadata

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

mlx-community/ether0-4bit

This model mlx-community/ether0-4bit 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/ether0-4bit")

prompt = "hello"

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

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