Replace deprecated torch_dtype parameter with dtype (#3415)

- Update huggingface.py to use dtype instead of torch_dtype (2 places)
- Update optimum_ipex.py to use dtype instead of torch_dtype (1 place)
- Aligns with Transformers v4.56.0+ API and removes deprecation warnings

Author: AbdulmalikDS

lm_eval/models/huggingface.py

@@ -628,7 +628,7 @@ def _create_model(
             self._model = self.AUTO_MODEL_CLASS.from_pretrained(
                 pretrained,
                 revision=revision,
-                torch_dtype=get_dtype(dtype),
+                dtype=get_dtype(dtype),
                 trust_remote_code=trust_remote_code,
                 gguf_file=gguf_file,
                 quantization_config=quantization_config,
@@ -712,7 +712,7 @@ def _create_model(
             _model_delta = self.AUTO_MODEL_CLASS.from_pretrained(
                 delta,
                 revision=revision,
-                torch_dtype=get_dtype(dtype),
+                dtype=get_dtype(dtype),
                 trust_remote_code=trust_remote_code,
                 **model_kwargs,
             )

lm_eval/models/optimum_ipex.py

@@ -73,7 +73,7 @@ def _create_model(
         self._model = IPEXModelForCausalLM.from_pretrained(
             pretrained,
             revision=revision,
-            torch_dtype=get_dtype(dtype),
+            dtype=get_dtype(dtype),
             trust_remote_code=trust_remote_code,
             **model_kwargs,
         )