feat: 平台治理与权限体系完善，存储进度/GPU预留/审批中心与日志整合

- 平台治理: 租户用户权限层次、资源ACL、审批中心与审批模板、访问申请
- 存储: MinIO 存储进度迁移、对象存储安全加固与测试
- 计算: GPU 资源预留、compute 轮询与同步增强
- 权限: permission v2 迁移、权限安全验收测试
- 日志: 后端运行日志中文说明、操作日志整合
- 数据处理/评测: 数据转换与模型评测优化

Co-Authored-By: Claude <noreply@anthropic.com>

compute/engines/llama_factory/inference.py

@@ -7,6 +7,28 @@ import uuid
 from typing import Any, Iterator
 
 
+def _ensure_peft_transformers_compat() -> None:
+    """Bridge a removed PEFT helper used by the bundled Transformers build.
+
+    The offline Compute image currently contains Transformers 5.8.0 and PEFT
+    0.18.1. Transformers imports this private helper when a model directory
+    contains PEFT metadata, but PEFT 0.18.1 does not expose it. Evaluation
+    runs in single-process HuggingFace mode, so tensor-parallel sharding is
+    not applicable and a no-op compatibility hook is the correct behavior.
+    """
+    try:
+        from peft.utils import save_and_load
+    except Exception:
+        return
+    if hasattr(save_and_load, "_maybe_shard_state_dict_for_tp"):
+        return
+
+    def _maybe_shard_state_dict_for_tp(_model: Any, _state_dict: dict[str, Any], _adapter_name: str) -> None:
+        return None
+
+    save_and_load._maybe_shard_state_dict_for_tp = _maybe_shard_state_dict_for_tp
+
+
 class InferenceSession:
     """Manages a loaded model for inference with LLaMA-Factory ChatModel.
 
@@ -143,6 +165,7 @@ class InferenceSession:
 
             args = dict(self._load_args)
             infer_result = get_infer_args(args)
+            _ensure_peft_transformers_compat()
             model = ChatModel(args)
             tokenizer = getattr(model, "tokenizer", None) or model.engine.tokenizer
             generating_args = infer_result[-1]
@@ -182,6 +205,7 @@ class InferenceSession:
             self._loaded_at = time.time()
             self._status = "ready"
 
+
     def _release_model(self) -> None:
         with self._chat_lock:
             with self._state_lock: