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12,590 Commits
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38 Commits (0bdbf300ac347640e5b81dff2fa187bcfe05574c)

Author SHA1 Message Date
Disty0 d9e628574a SDNQ add 15, 13, 11 and 9 bit support 2026-03-11 03:39:02 +03:00
Disty0 9fbe70195f SDNQ add 14, 12 and 10 bit support 2026-03-09 23:05:08 +03:00
Disty0 78efbc7e85 update sdnq 2026-02-24 19:47:30 +03:00
Vladimir Mandic bfe014f5da modernize typing 2026-02-19 09:15:37 +01:00
Disty0 90cf83b90e update sdnq 2026-02-02 20:22:29 +03:00
vladmandic a4671045b6 lint and crlf 
Signed-off-by: vladmandic <mandic00@live.com>
 2026-01-24 10:28:46 +01:00
Disty0 8d6bfcd827 Update SDNQ 2026-01-23 14:39:07 +03:00
Disty0 784cda80aa update sdnq 2026-01-14 16:23:26 +03:00
Disty0 db59d2b507 SDNQ handle packed floats in fp mm 2025-12-27 16:29:18 +03:00
Disty0 949ff04577 SDNQ fix fp16 mm with fp8 weights and improve stochastic rounding performance 2025-12-09 17:41:29 +03:00
Disty0 aaef4992c3 SDNQ fix svd + fp8 tw and fp16 mm 2025-11-28 22:31:09 +03:00
Disty0 b6e9332cfe SDNQ de-couple matmul dtype and add fp16 matmul 2025-11-22 02:16:20 +03:00
Disty0 1745ed53f8 Refactor SDNQDequantizer 2025-11-18 01:42:58 +03:00
Disty0 6f33ec3357 SDNQ use the model quant params instead of user settings on Lora 2025-11-10 00:12:38 +03:00
Disty0 f12caf81f9 SDNQ skip bad layers on svd and fix svd with dequantize_fp32 2025-10-17 17:25:50 +03:00
Disty0 c7aba8589b SDNQ fix Qwen loading 2025-10-11 00:05:09 +03:00
Disty0 be91bbff75 SDNQ add SVD support for Convs 2025-10-06 18:26:42 +03:00
Disty0 9e52d0c1fb SDNQ add SVDQuant quantization method 2025-10-05 22:50:30 +03:00
Disty0 99113947bf SDNQ add RDNA2 INT8 support via Triton 2025-10-04 18:31:25 +03:00
Disty0 54acf1760b Make SDNQ scales compatible with balanced offload 2025-10-03 18:13:55 +03:00
Disty0 c5cab96223 SDNQ simplify check_mats 2025-10-03 02:58:17 +03:00
Disty0 03382bdd4c SDNQ simplify check_mats 2025-10-01 01:35:51 +03:00
Disty0 0c1d34721c SDNQ use contiguous for intel 2025-09-30 02:37:58 +03:00
Disty0 6b67a9d0c4 SDNQ add check_mats to matmul 2025-09-30 01:58:13 +03:00
Disty0 e6715ba8d3 Cleanup SDNQ compile 2025-09-19 19:29:36 +03:00
Disty0 a12edc1e90 SDNQ use nan_to_num_ with fp8 quantization in case of zeros 2025-09-15 20:22:39 +03:00
Vladimir Mandic 9743c8e4bf keep previous processed state 
Signed-off-by: Vladimir Mandic <mandic00@live.com>
 2025-08-31 15:20:15 -04:00
Disty0 bbb345cf44 Fix bias dtype mismatch 2025-08-30 02:31:41 +03:00
Disty0 6c36433a14 SDNQ fix row-wise FP8 matmul with fp32 and fp16 inputs 2025-08-30 02:27:15 +03:00
Disty0 a8de3f7282 SDNQ add quantized matmul support for all quantization types and group sizes 2025-08-29 22:26:47 +03:00
Disty0 f324b7c0e5 SDNQ remove unnecessary .contiguous() 2025-08-21 02:21:05 +03:00
Disty0 8460be662c SDNQ use inplace transpose and use view instead of reshape 2025-08-17 05:07:55 +03:00
Disty0 9992338187 sdnq fix convs 2025-08-11 23:24:13 +03:00
Disty0 26461f1d8d fix conv in8 matmul 2025-08-11 23:15:30 +03:00
Disty0 dc7b25d387 Cleanup SDNQ and add SDNQ_USE_TENSORWISE_FP8_MATMUL env var 2025-08-11 14:50:17 +03:00
Disty0 3f45c4e570 Cleanup SDNQ and skip transpose on packed int8 matmul 2025-08-10 19:31:34 +03:00
Disty0 22d86acda3 Make SDNQ MatMul listen to the dequantize fp32 setting 2025-08-09 01:10:07 +03:00
Disty0 c3d007b02c SDNQ split forward.py into layers and cleanup 2025-08-02 17:36:55 +03:00