mlx-community/Ling-1T-mlx-3bit/

This model mlx-community/Ling-1T-mlx-3bit/ was converted to MLX format from inclusionAI/Ling-1T using mlx-lm version 0.28.1.

You can find more similar MLX model quants for Apple Mac Studio with 512 GB at https://huggingface.co/bibproj

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Ling-1T-mlx-3bit/")

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)