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kvcache-ai-ktransformers/kt-kernel/test
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[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
..
ci add ci (#1642) 2025-11-25 20:52:08 +08:00
per_commit [feat](kt-sft): Activation reuse & Int8 kernel refactor & native block-FP8 LoRA SFT (#2141) 2026-08-17 16:25:14 +08:00
__init__.py add ci (#1642) 2025-11-25 20:52:08 +08:00
run_suite.py update ci test (#1647) 2025-11-27 16:39:48 +08:00
test_generate_gpu_experts_masks.py [feat](kt-kernel): CPU-GPU experts sched (#1796) 2026-01-16 17:01:15 +08:00
test_native_moe_loader_auto_release.py [fix](kt-kernel): fix double mem used by safetensor loader (#1997) 2026-05-11 12:00:30 +08:00