github-featured/kvcache-ai--ktransformers
2
0
Fork 0
Code Issues Pull Requests Deployments Models Agent Notes Packages Projects Releases Wiki Activity
Files
main
kvcache-ai--ktransformers/kt-kernel/python/sft
T
History
yyj e80614fc2d [feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141) 
* feat(sft): support distributed activation reuse policies

* feat(sft): add frozen-base INT8 LoRA training

* fix(sft): make INT8 expert LoRA rank-zero authoritative

* fix(sft): preserve DeepSeek router LoRA routing

* feat(sft): enable persistent INT8 LoRA training

* perf(sft): accelerate INT8 VNNI with oneDNN BRGEMM

* perf(int8): fuse oneDNN compensation into backward repack

* [feat]: support BF16 expert LoRA training

* [fix]: honor forwarded activation policy in SFT workers

* feat(sft): add native block-FP8 routed expert LoRA

* feat(sft): expose explicit expert placeholder ownership

* fix(sft): publish fused adapter artifacts atomically

* feat(sft): own artifact and adapter lifecycle contracts

* fix(sft): harden artifact and rank-local contracts

* fix(sft): auto-adapt owner before adapter restore

* style(sft): keep lifecycle comments concise

* fix(sft): require fused adapter manifests

* test(sft): use spawn for distributed workers

* fix(sft): preserve runtime checkpoint metadata

* fix(sft): validate wrapped runtime configuration

* fix(sft): preserve expert format provenance

* fix(sft): own routed experts during device dispatch

* test(sft): lock explicit quantization conflict

* fix(cpu): make shared memory buffers lifetime-safe

* release: prepare v0.7.0
2026-08-17 16:25:14 +08:00
..
__init__.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
amx.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
arch.py
[feat](sft): support Qwen VLM MoE fine-tuning (#2156)
2026-08-17 10:51:55 +08:00
artifacts.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
autograd.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
backend.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
base.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
checkpoint.py
[feat](kt-kernel): end-to-end full-parameter and LoRA SFT(#2094)
2026-07-23 21:23:34 +08:00
config.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
conv3d_compat.py
[feat](sft): support Qwen VLM MoE fine-tuning (#2156)
2026-08-17 10:51:55 +08:00
dist_utils.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
ephemeral.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
layer.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
lora.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
profiler.py
[feat](kt-kernel): end-to-end full-parameter and LoRA SFT(#2094)
2026-07-23 21:23:34 +08:00
weight_manifest.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
weights.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00
wrapper.py
[feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141)
2026-08-17 16:25:14 +08:00