kvcache-ai-ktransformers/kt-kernel/python
Jiaheng Dai c9a915e6ac
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[feat](kt-lora): add end-to-end Qwen3.5 MoE KT LoRA serving workflow (#2031)
* [feat](kt-lora): add KT expert LoRA adapter serving

* [feat]: pin Qwen3.5 non-expert LoRA support

* [feat](kt-lora): add merged SGLang adapter workflow

Document the KT SFT to SGLang serving loop and extend the converter with optional split outputs so users can serve one merged adapter while retaining debug-friendly expert/non-expert artifacts.

Co-authored-by: Cursor <cursoragent@cursor.com>

* [fix](kt-lora): validate adapter conversion

Co-authored-by: Cursor <cursoragent@cursor.com>

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Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-05 16:57:14 +08:00
..
cli [fix](cli): detect SGLANG_DSV4_2604_SUBMODE conflict before launch (#2025) 2026-05-30 19:20:47 +08:00
sft [feat](kt-lora): add end-to-end Qwen3.5 MoE KT LoRA serving workflow (#2031) 2026-06-05 16:57:14 +08:00
utils [feat](kt-lora): add end-to-end Qwen3.5 MoE KT LoRA serving workflow (#2031) 2026-06-05 16:57:14 +08:00
__init__.py [fix](kt-kernel): pin torch 2.9.1 wheel baseline 2026-04-30 00:57:24 +08:00
_cpu_detect.py [feat](kt-kernel): Fix CPU instruction set variants for build & install (#1746) 2025-12-24 18:57:45 +08:00
experts.py Release/0.6.2.post3: carry kt-kernel SwiGLU clamp companion missing from post2 2026-05-10 03:55:02 +08:00
experts_base.py Release/0.6.2.post3: carry kt-kernel SwiGLU clamp companion missing from post2 2026-05-10 03:55:02 +08:00