metadata
pipeline_tag: text-generation
license: other
license_name: modified-mit
license_link: https://github.com/MiniMax-AI/MiniMax-M2.1/blob/main/LICENSE
library_name: mlx
base_model: MiniMaxAI/MiniMax-M2.1
tags:
- mlx
mlx-community/MiniMax-M2.1-5bit
This model mlx-community/MiniMax-M2.1-5bit was converted to MLX format from MiniMaxAI/MiniMax-M2.1 using mlx-lm version 0.30.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/MiniMax-M2.1-5bit")
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)