21 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	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
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	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	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	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	a12edc1e90	SDNQ use nan_to_num_ with fp8 quantization in case of zeros	2025-09-15 20:22:39 +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	dc7b25d387	Cleanup SDNQ and add SDNQ_USE_TENSORWISE_FP8_MATMUL env var	2025-08-11 14:50:17 +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