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usermma
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Model Details
Model Provider
usermma
Model Tree
opendatalab/MinerU2.5-Pro-2605-1.2B
Input Modalities
Output Modalities
Supported Functionality
bash
pip install mlx-lmpython
from mlx_lm import load, generate model, tokenizer = load("usermma/MinerU2.5-Pro-2605-1.2B-mlx-fp16") prompt="hello" if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True ) response = generate(model, tokenizer, prompt=prompt, verbose=True)