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#mxfp8

@PyTorch: New from @Meta Engineering: FlashAttention-4 extended with MXFP8 support for @nvidia Blackwell—from forward and backwar…

X AI KOLs Timeline · 5d ago Cached

Meta Engineering extends FlashAttention-4 with MXFP8 support for NVIDIA Blackwell, achieving up to 2.85 PFLOP/s forward performance and integrating into production training workflows like GEM.

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#mxfp8

@dealignai: Qwen3.6-27b and 35b MXFP4 MXFP8 CRACK is out now with MTP. Enjoy uncensored speediness! 35b mxfp4: https://huggingface.…

X AI KOLs Timeline · 2026-05-24 Cached

DealignAI releases CRACK-abliterated and MXFP4/MXFP8 quantized versions of Qwen3.6-27B and 35B models, preserving MTP for faster speculative decoding on Apple Silicon.

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