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pa5haw
Available on FriendliAI
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Model Details
Model Provider
pa5haw
Model Tree
ibm-granite/granite-4.1-30b
Input Modalities
Output Modalities
Supported Functionality
bash
pip install mlx-lmpython
from mlx_lm import load, generate model, tokenizer = load("pa5haw/granite-4.1-30b-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)