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)