mimo-v25-pro/README.md

metadata

license: mit
language:
  - en
  - zh
tags:
  - text-generation
  - agent
  - long-context
  - code
  - mlx
library_name: mlx
base_model: XiaomiMiMo/MiMo-V2.5-Pro
pipeline_tag: text-generation

kernelpool/MiMo-V2.5-Pro-6bit

This model kernelpool/MiMo-V2.5-Pro-6bit was converted to MLX format from XiaomiMiMo/MiMo-V2.5-Pro using mlx-lm version 0.31.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("kernelpool/MiMo-V2.5-Pro-6bit")

prompt = "hello"

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

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