How to use JANGQ-AI/Nemotron-3-Nano-Omni-30B-A3B-JANGTQ2 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("JANGQ-AI/Nemotron-3-Nano-Omni-30B-A3B-JANGTQ2") config = load_config("JANGQ-AI/Nemotron-3-Nano-Omni-30B-A3B-JANGTQ2") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output)
