MODIFICATIONS.md

Modifications

Eligible learned linear projections in transformer, transformer_ref, and text_encoder were converted from the pinned MiniMax H3 checkpoint to OrbitQuant W4A4 packed weights. AdaLN projections use OrbitQuant INT4 group-64. Embeddings, convolutions, norms, biases, time/context/refiner boundaries, and policy-protected input/output projections remain in source precision.

The validated inference runtime loads the packed text encoder and selected denoiser with BF16 compute modules so OrbitQuant dispatches every eligible linear to the native packed W4A4 Triton path. The text encoder enters CUDA only for conditioning, then returns to RAM before the selected denoiser enters CUDA.

The visual and audio VAEs are exact FP32 copies from the pinned source revision; they are not quantized and are used only in a separate post-denoise decode process. Tokenizer, processor, schedulers, license, and upstream documentation are copied without model-weight modification. Validated examples use 50 scheduler sigma points / 49 denoiser forwards.