12 commits

Author	SHA1	Message	Date
mrhaoxx	7a9daf0cd4	[feat](kt-kernel): support avx2 only inference for bf16 fp8 and gptq int4 (#1892) ... * feat: support avx2 bf16 fp8 inference * feat: support avx2 gptq int4 inference * fix: numeric issues in fp8 dequant * Tutorial avx2 (#1900) * fix: prevent injecting -DLLAMA_AVX512=ON on AVX2-only machines * docs: add AVX2 tutorial for running KTransformers on AVX2-only CPUs * Tutorial avx2 (#1901) * fix: prevent injecting -DLLAMA_AVX512=ON on AVX2-only machines * docs: add AVX2 tutorial for running KTransformers on AVX2-only CPUs * docs: update README.md --------- Co-authored-by: Benjamin F <159887351+yyj6666667@users.noreply.github.com>	2026-03-27 14:45:02 +08:00
Jianwei Dong	027832c590	[feat](kt-kernel): CPU-GPU experts sched (#1796)	2026-01-16 17:01:15 +08:00
Oql	5edc456749	support Native BF16 format MoE. (#1788) ... support Native BF16 format MoE	2026-01-12 14:43:28 +08:00
ErvinXie	d8046e1bb4	Kt minimax (#1742) ... [feat]: fp8 kernel and kt-cli support	2025-12-24 15:39:44 +08:00
Jiaqi Liao	fcf8882075	[Feature] Add avx-based kimi-k2 support (#1656) ... * support Kimi-K2-Thinking original weight fix amx kernel bug * update k2 avx kernel. * feat: add CPUInfer write buffer task * [feat]: add kimi k2 cpu write buffer support - Implement write_weights_to_buffer function in k2-moe.hpp for extracting GPU expert weights - Fix down (w2) weight column-wise slicing for different TP configurations - Support three TP scenarios: cpu_tp == gpu_tp, cpu_tp > gpu_tp, cpu_tp < gpu_tp - Add comprehensive test cases for weight extraction validation - Ensure compatibility with Kimi model's MoE architecture * [fix]: correct write_weight_scale_to_buffer expert offset calculation Fixed the bug in write_weight_scale_to_buffer_task where expert offsets in GPU buffers were incorrectly calculated. Changed from using per_expert_gpu sizes to using full gpu_tp sizes, ensuring correct memory layout for multi-expert scenarios. Also added benchmark scripts for k2 moe and write buffer operations, and cleaned up debug output in test files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * [feat]: add write buffer wrapper * [fix] fix comment --------- Co-authored-by: ouqingliang <1692110604@qq.com> Co-authored-by: Claude <noreply@anthropic.com>	2025-12-02 16:01:07 +08:00
ZiWei Yuan	1374b98ee5	[feat](moe_kernel): add amd blis support (int8) (#1600) ... * [feat]: init amd adaption * [feat]: add blis support * [fix]: fix setup and moe kernel warpper * [fix](setup.py): support rebuild with cache and import kt_kernel works fine * [feat]: add moe_kernel converter for amd and implement the load method(haven't tested yet) * [feat](moe_kernel/moe.hpp): delete unused memory when using save * [fix](moe_kernel): update PLAIN for pack * [fix](moe_kernel): rm printf debug * [fix](moe_kernel): skip gpu experts * [fix](moe_kernel/moe.hpp): update include memory path * [feat](moe_kernel/moe.hpp): support expert deferral * [feat]: finish amd --------- Co-authored-by: mrhaoxx <mr.haoxx@gmail.com>	2025-11-27 12:08:53 +08:00
Jiaqi Liao	9bc00e587b	Refactor KTMoEWrapper backend (#1587) ... * universal backend for cpu inference * expert defer	2025-11-10 20:26:15 +08:00
chenht2022	6fe30af50d	Merge branch 'main' into develop-cht	2025-11-03 14:35:44 +00:00
ovowei	f854d03bd7	update kt-kernel	2025-11-03 15:19:52 +08:00
chenht2022	dd4377b60b	feat: add deferred expert scheduling support	2025-10-31 08:03:37 +00:00
ovowei	28d8663374	fix	2025-10-22 18:14:34 +08:00
Atream	4c5fcf9774	add kt-kernel	2025-10-12 05:13:00 +00:00