Native MLX port of NVIDIA NV-Reason-CT for Apple Silicon. Run 3D CT reasoning and report generation locally on Mac. - Local NIfTI input with Apple Silicon GPU acceleration - FP32 by default, with explicit BF16 arithmetic profiles on Metal MLX port by Joseph Sandoval. Requires the companion mlx-reason-ct runtime. Follow the quick start below. Hugging Face's generated "Use this model" snippet uses mlx-vlm, which does not support this 3D CT architecture; generic mlx-lm loaders are also incompatible. Python 3.12 and uv. Inference fails explicitly when Metal is unavailable. v0.2.2 uses the public Apache-2.0 [email protected] runtime. Weights occupy 17.4 GB. Measured peak MLX memory use is about…
Independent publisher
Joseph Sandoval
josand
Models in Library2
Datasets in Library0
Models on Hugging Face1
Followers1
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Models
Native MLX port of NVIDIA NV-Reason-CT for Apple Silicon. Run 3D CT reasoning and report generation locally on Mac. - Local NIfTI input with Apple Silicon GPU acceleration - FP32 inference using MLX; no PyTorch or CUDA required MLX port by Joseph Sandoval. Requires the companion nv-reason-ct-mlx runtime. Generic mlx-vlm and mlx-lm examples do not support this 3D CT model. Apple Silicon Mac, macOS, Python 3.12 and uv. Weights occupy 17.4 GB. Measured peak MLX memory use is about 22.4 GB; allow additional unified memory for preprocessing, macOS and other apps. To ask a question about the CT, set --prompt to your question. Input is one 3D CT volume in NIfTI format (.nii or.nii.gz) with…