Natural Memory NM2.1: 记忆路由器分叉、数据集缺陷修复与全轴评测证据

- 引入 MemoryRouterXL 与 v5/v6 流式多线程训练/编码管线
- 修复 prepare_memory_router_dataset 候选池重建缺陷（mega 家族 3568x 加速，输出逐字节相同）
- 修复 v5 被破坏的拒答与多跳标签（train 未知样本 319 -> 16319，multi_hop 平均正例 1.00 -> 2.00）
- 同存储预算下 V2-128 v6 逐轴 22/22 通过：Top-1 41.12% -> 94.62%，未知拒答 0.00% -> 100.00%
- 记录三条被实测推翻的显然优化（logits_to_keep=1 反而慢 55%、XL 容量未带来收益）
- 记忆手术跨架构可移植性 14/14，读写关闭时与原生模型逐位相同

nm2_real_granite_moe.json

@@ -0,0 +1,43 @@
+[
+  {
+    "model": "H:\\modelscope_cache\\ibm-granite\\granite-3___0-3b-a800m-instruct",
+    "full_stack": false,
+    "dtype": "bfloat16",
+    "stages": {
+      "1_config": "needs patch: config.text_config",
+      "2_load_causal_lm": "ok",
+      "3_container": "needs patch: repo wants model.language_model.layers, found model.layers",
+      "4_convention": "MISMATCH: second positional is 'attention_mask', adapter forwards position_embeddings positionally",
+      "5_surgery": "ok (no shims)",
+      "6_identity": "identical",
+      "7_write_read": "ok"
+    },
+    "patches": [],
+    "architecture": "GraniteMoeForCausalLM",
+    "model_type": "granitemoe",
+    "hidden_size": 1536,
+    "num_layers": 32,
+    "vocab_size": 49155,
+    "text_config_present": false,
+    "backbone_class": "GraniteMoeForCausalLM",
+    "container_path": "model.layers",
+    "repo_layer_path_ok": false,
+    "layer_forward_params": [
+      "hidden_states",
+      "attention_mask",
+      "past_key_values",
+      "position_embeddings",
+      "kwargs"
+    ],
+    "second_positional_is_position_embeddings": false,
+    "resolved_layer_indices": [
+      7,
+      15,
+      23,
+      31
+    ],
+    "shims_needed": [],
+    "identity_max_abs_logit_delta": 0.0,
+    "memory_state_changed_by": null
+  }
+]