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inference.py

@@ -1461,7 +1461,18 @@ class OllamaInferenceEngine(
                 options=args,
             )
             results.append(response)
-
+        if return_meta_data:
+            return [
+                TextGenerationInferenceOutput(
+                    prediction=element["message"]["content"],
+                    generated_text=element["message"]["content"],
+                    input_tokens=element.get("prompt_eval_count", 0),
+                    output_tokens=element.get("eval_count", 0),
+                    model_name=self.model,
+                    inference_type=self.label,
+                )
+                for element in results
+            ]
         return [element["message"]["content"] for element in results]
 
 

metrics.py

@@ -28,7 +28,6 @@ from typing import (
     Union,
 )
 
-import evaluate
 import numpy
 import numpy as np
 import pandas as pd
@@ -82,6 +81,8 @@ warnings.filterwarnings("ignore", category=DegenerateDataWarning)
 
 @retry_connection_with_exponential_backoff(backoff_factor=2)
 def hf_evaluate_load(path: str, *args, **kwargs):
+    import evaluate
+
     if settings.hf_offline_metrics_path is not None:
         path = os.path.join(settings.hf_offline_metrics_path, path)
     return evaluate.load(

version.py

@@ -1 +1 @@
-version = "1.26.7"
+version = "1.26.8"