Transformers adds FP8 backend for QuantizedCache
Native PyTorch FP8 concat replaces a defensive workaround, with layout fixes aimed at future kernels.
By tensorNative PyTorch FP8 concat replaces a defensive workaround, with layout fixes aimed at future kernels.
By tensorJohannes Gaessler rejects a pull request adding CPU quantization formats, citing maintenance burden and machine-generated code.
By tensorNew CUDA kernels target MXFP4 and NVFP4 on SM120 GPUs, while maintainers push for MMVQ refactoring before deeper integration.
By tensor