kaggle-training

The author transferred pretrained PLE n-gram memory from Qwen3.8-Flash-Next to Qwen3.5-0.8B, achieving a 5.05% reduction in validation perplexity without fine-tuning the backbone. Key findings include the effectiveness of dynamic gating and reader training for memory injection.