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馃殌 What is new in QuTLASS v0.2:
- FlashInfer backend support for B200 GPUs
- Quantization-Aware Training (QAT) via MXFP types:
- Quartet clipping mask computation integrated in quantization routines
- Prototype backward kernels for MXFP4 (
sm_120) and MXFP8 (sm_100) - Integrated CUTLASS MXFP8 backward GEMM kernels (TN and NN layouts)
- Updated Transformers Integration for QAT (#41897)
- Nanochat-QAT Integration (#1)