Disty0
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4ec8603f63
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SDNQ re-add bitpacking for uint1
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2025-08-29 23:06:11 +03:00 |
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Disty0
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d49e954918
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SDNQ listen to dequantize_fp32 option with re_quantize
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2025-08-29 22:48:28 +03:00 |
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Disty0
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a8de3f7282
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SDNQ add quantized matmul support for all quantization types and group sizes
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2025-08-29 22:26:47 +03:00 |
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Disty0
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8460be662c
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SDNQ use inplace transpose and use view instead of reshape
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2025-08-17 05:07:55 +03:00 |
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Disty0
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dc7b25d387
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Cleanup SDNQ and add SDNQ_USE_TENSORWISE_FP8_MATMUL env var
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2025-08-11 14:50:17 +03:00 |
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Disty0
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3f45c4e570
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Cleanup SDNQ and skip transpose on packed int8 matmul
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2025-08-10 19:31:34 +03:00 |
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Disty0
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c3d007b02c
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SDNQ split forward.py into layers and cleanup
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2025-08-02 17:36:55 +03:00 |
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Disty0
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25a4731a97
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SDNQ use static compile
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2025-07-20 16:25:57 +03:00 |
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Disty0
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86cd272b96
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SDNQ fix Dora
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2025-06-18 16:24:42 +03:00 |
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Disty0
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26800a1ef9
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Cleanup sdnq
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2025-06-17 02:05:13 +03:00 |
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Disty0
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d31df8c1eb
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SDNQ fuse bias into dequantizer with matmul
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2025-06-14 22:10:10 +03:00 |
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Disty0
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5e013fb154
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SDNQ optimize input quantization and use the word quantize instead of compress
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2025-06-12 12:06:57 +03:00 |
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