Effortlessly estimate how much unified memory your Mac (M1, M2, M3, or M4 series) will use when running Hugging Face models in MLX-based workflows. Just enter the model ID and context length and get immediate insights into memory demand, including activations and KV-cache, tailored to Apple Silicon's unified memory architecture. Compatible with Torch and Transformers frameworks too. Optimize your model deployment, avoid memory issues, and make the most of your Mac's AI potential.