fix for upstream refactor of KwargsForCausalLM (#2911)

src/axolotl/integrations/kd/kernels/models.py

@@ -6,15 +6,21 @@ from typing import Optional, Union, Unpack
 
 import torch
 from transformers import Cache
-from transformers.modeling_flash_attention_utils import FlashAttentionKwargs
 from transformers.modeling_outputs import CausalLMOutputWithPast
-from transformers.utils import LossKwargs
 
+try:
+    from transformers.modeling_flash_attention_utils import FlashAttentionKwargs
+    from transformers.utils import LossKwargs
 
-class KwargsForCausalLM(FlashAttentionKwargs, LossKwargs):
-    """
-    placeholder kwargs for hf model classes
-    """
+    class TransformersKwargs(FlashAttentionKwargs, LossKwargs):
+        """
+        placeholder kwargs for hf model classes
+        """
+
+except ImportError:
+    from transformers.utils.generic import (  # type: ignore[no-redef]
+        TransformersKwargs,
+    )
 
 
 def kldiv_forward_llama_like(
@@ -33,7 +39,7 @@ def kldiv_forward_llama_like(
     output_hidden_states: Optional[bool] = None,
     cache_position: Optional[torch.LongTensor] = None,
     logits_to_keep: Union[int, torch.Tensor] = 0,  # pylint: disable=unused-argument
-    **kwargs: Unpack[KwargsForCausalLM],  # type: ignore[misc]
+    **kwargs: Unpack[TransformersKwargs],  # type: ignore[misc]
 ) -> CausalLMOutputWithPast:
     # pylint: disable=duplicate-code
     output_attentions = (