21 Commits (0bdbf300ac347640e5b81dff2fa187bcfe05574c)

Author	SHA1	Message	Date
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	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	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	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	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