16 Commits (4ecec822e0f75dafc19380832a44c8ade3c68a80)

Author	SHA1	Message	Date
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	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	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	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	c3d007b02c	SDNQ split forward.py into layers and cleanup	2025-08-02 17:36:55 +03:00