metadata
tags:
- unsloth
- mlx
base_model: unsloth/minimax-m2.5
pipeline_tag: text-generation
license: other
license_name: modified-mit
license_link: https://github.com/MiniMax-AI/MiniMax-M2.5/blob/main/LICENSE
library_name: mlx
async0x42/unsloth_MiniMax-M2.5-4bit
This model async0x42/unsloth_MiniMax-M2.5-4bit was converted to MLX format from unsloth/minimax-m2.5 using mlx-lm version 0.30.7.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("async0x42/unsloth_MiniMax-M2.5-4bit")
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)