[功能请求] 为 HybridModel 训练添加 Engram 存储

Is your feature request related to a problem? Please describe.

I independently developed an Engram integration for HybridModel training and would like to contribute it upstream. It adds n-gram memory before selected standard attention layers. The main integration challenge is keeping token context and sparse memory state consistent across pipeline stages, activation recomputation and checkpoints.