ViperEkura 88ec63121d feat : GPT-2 residual scaling weight init ... - Linear: normal(0, init_std) replaces kaiming_uniform_(a=sqrt(5)) - o_proj / mlp.down: init_std = 0.02 / sqrt(2 * n_layers) - MoE: expert down scaled by 1/sqrt(1/n_shared + 1/K) - Embedding: normal(0, 0.02), unchanged		2026-06-25 15:08:31 +08:00
..
__init__.py	refactor: 拆分 module.py 为 components 子包	2026-05-15 20:08:36 +08:00
attention.py	feat : GPT-2 residual scaling weight init	2026-06-25 15:08:31 +08:00
decoder_block.py	feat : GPT-2 residual scaling weight init	2026-06-25 15:08:31 +08:00
embedding.py	refactor : neftune_alpha 在 Embedding 构造时传入，由模型配置链路负责	2026-06-19 14:23:27 +08:00
linear.py	feat : GPT-2 residual scaling weight init	2026-06-25 15:08:31 +08:00
lora.py	refactor: 统一序列化层，消除分散的 I/O 路径	2026-05-26 16:44:40 +08:00
mlp.py	feat : GPT-2 residual scaling weight init	2026-06-25 15:08:31 +08:00
norm.py	refactor: 拆分 module.py 为 components 子包	2026-05-15 20:08:36 +08:00
rope.py	feat: 新增NTK-Aware RoPE缩放支持	2026-05-25 21:22:07 +08:00