mlx-community/MiMo-V2-Flash-mlx-8bit

This model mlx-community/MiMo-V2-Flash-mlx-8bit- was converted to MLX format from XiaomiMiMo/MiMo-V2-Flash using mlx-lm version 0.30.0.

You can find more similar MLX model quants for a single Apple Mac Studio M3 Ultra with 512 GB at https://huggingface.co/bibproj

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Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/MiMo-V2-Flash-mlx-8bit")

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)