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kvcache-ai-ktransformers/kt-kernel/python/sft
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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>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-05 16:57:14 +08:00
..
__init__.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
amx.py [feat](kt-lora): add end-to-end Qwen3.5 MoE KT LoRA serving workflow (#2031) 2026-06-05 16:57:14 +08:00
arch.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
autograd.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
base.py [feat](kt-lora): add end-to-end Qwen3.5 MoE KT LoRA serving workflow (#2031) 2026-06-05 16:57:14 +08:00
config.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
dist_utils.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
layer.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
lora.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
weights.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00
wrapper.py feat(sft): AMX MoE SFT backend with LoRA support (#1936) 2026-04-22 11:27:01 +08:00