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[Experimental] Add NVFP4 E5M3 support and related components for model-free quantization
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[Experimental] Add NVFP4 E5M3 support and related components for model-free quantization
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Add NVFP4 E5M3 support and related components for model-free quantization
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[llm_compressor format] Add NVFP4 E5M3 quantization support and related components
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[pre-commit.ci] auto fixes from pre-commit.com hooks
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fix CI
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Add NVFP4 E5M3 support with CuTe QDQ integration and related tests
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[auto_round format] Add NVFP4 E5M3 support with CuTe integration and update related components
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Enhance model conversion and CUDA integration for NVFP4 E5M3 support
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Commits on Aug 6, 2026
Add weight dequantization support and caching mechanism for NVFP4 E5M3
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Merge remote-tracking branch 'origin/main' into xinhe/8-4
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Implement hydration of scale tensors from sibling shards in FP8 dequantization
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Add logging for fp32 to UE8M0 conversion in scale tensor processing
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Enhance E8M0 block scale expansion for DeepSeek variants and improve logging for fp32 to UE8M0 conversion
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Normalize scale layout in _pack_weight_nvfp4_e5m3 for consistent 2D shape before packing
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Merge branch 'main' into xinhe/8-4
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Add support for mixed precision quantization with MXFP and NVFP4_E5M3 formats
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Add AR_NVFP4_E5M3_CACHE_HP_WEIGHT environment variable for caching high-precision weights
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Implement streaming pipeline for shard processing with quantization and download management
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Add NVFP4 support with normalization and passthrough handling for legacy tensors
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