Fix FP8 MoE loader: guard import, pass auth to FastModel

1. Wrap moe_utils_fp8 import in try/except so unsloth does not
   crash when paired with an older unsloth_zoo that lacks the
   module. Falls back to a no-op stub.

2. Pass token and trust_remote_code to get_model_name() and
   _has_prequantized_fp8_config() in the FastModel path, matching
   the FastLanguageModel path. Without this, private/gated repos
   fail silently and fall through to incorrect offline quantization.

unsloth/models/loader.py

@@ -66,9 +66,13 @@ from ..device_type import (
 from unsloth_zoo.utils import Version, _get_dtype
 from unsloth_zoo.hf_utils import dtype_from_config
 from unsloth_zoo.tiled_mlp import patch_tiled_mlp
-from unsloth_zoo.temporary_patches.moe_utils_fp8 import (
-    maybe_patch_stacked_moe_expert_fp8_scales,
-)
+try:
+    from unsloth_zoo.temporary_patches.moe_utils_fp8 import (
+        maybe_patch_stacked_moe_expert_fp8_scales,
+    )
+except ImportError:
+    def maybe_patch_stacked_moe_expert_fp8_scales(model, model_name=None, token=None, revision=None):
+        return False
 
 transformers_version = Version(transformers_version)
 SUPPORTS_FOURBIT = transformers_version >= Version("4.37")
@@ -1034,13 +1038,19 @@ class FastModel(FastBaseModel):
                 load_in_4bit = load_in_4bit,
                 load_in_fp8 = load_in_fp8,
                 fast_inference = fast_inference,
+                token = token,
+                trust_remote_code = trust_remote_code,
             )
             if (
                 load_in_fp8 != False
                 and not fast_inference
                 and new_model_name == old_model_name
             ):
-                if _has_prequantized_fp8_config(model_name):
+                if _has_prequantized_fp8_config(
+                    model_name,
+                    token = token,
+                    trust_remote_code = trust_remote_code,
+                ):
                     load_in_fp8 = False
                 else:
                     new_model_name = None