Ling-mini-2.0-qx4-hi-mlx

Experimental quant, metrics not available yet

~100 tok/sec on a MBP M2

This model Ling-mini-2.0-qx4-hi-mlx was converted to MLX format from inclusionAI/Ling-mini-2.0 using mlx-lm version 0.28.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Ling-mini-2.0-qx4-hi-mlx")

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)