4 Commits

Include renames

Author	SHA1	Message	Date
ViperEkura	37a3036934	refactor: split LoRA param init into local vars	2026-07-20 16:23:47 +08:00
ccx1324andClaude Opus 4.7	a5678c9185	fix: create LoRA parameters on base weight device instead of CPU ... When `inject_lora()` replaces Linear layers with LoRALinear after the model has been moved to CUDA, the new lora_A and lora_B parameters were always created on CPU, causing a device mismatch error during the forward pass. Now lora_A and lora_B are created on the same device and dtype as the parent weight, matching the model's current device. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-07-20 16:11:48 +08:00
ViperEkura	65ab69543b	refactor: 统一序列化层，消除分散的 I/O 路径 ... - Checkpoint 改为 @dataclass，内聚 save/load 方法 - 提取 save_safetensors/load_safetensors/save_json/load_json 共享工具 - 新增 save_model/load_model_config/load_model_weights 模块函数 - automodel 和 lora 统一委托到 serialization 模块	2026-05-26 16:44:40 +08:00
ViperEkura	a4688021bf	feat: 新增LoRA微调模块 ... - LoRALinear基于register_parameter托管base weight，state_dict路径不变 - inject_lora/merge_lora/save_lora/load_lora完备封装 - 24个单元测试覆盖注入、合并、存取、边界场景	2026-05-25 20:15:31 +08:00