Test loading generation config with safetensor weights (#31550)

fix test

tests/utils/test_modeling_utils.py

@@ -1424,20 +1424,15 @@ class ModelUtilsTest(TestCasePlus):
             self.assertEqual(model.__class__.__name__, model_ref.__class__.__name__)
 
     def test_generation_config_is_loaded_with_model(self):
-        # Note: `joaogante/tiny-random-gpt2-with-generation-config` has a `generation_config.json` containing a dummy
-        # `transformers_version` field set to `foo`. If loading the file fails, this test also fails.
+        # Note: `TinyLlama/TinyLlama-1.1B-Chat-v1.0` has a `generation_config.json` containing `max_length: 2048`
 
         # 1. Load without further parameters
-        model = AutoModelForCausalLM.from_pretrained(
-            "joaogante/tiny-random-gpt2-with-generation-config", use_safetensors=False
-        )
-        self.assertEqual(model.generation_config.transformers_version, "foo")
+        model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0")
+        self.assertEqual(model.generation_config.max_length, 2048)
 
         # 2. Load with `device_map`
-        model = AutoModelForCausalLM.from_pretrained(
-            "joaogante/tiny-random-gpt2-with-generation-config", device_map="auto", use_safetensors=False
-        )
-        self.assertEqual(model.generation_config.transformers_version, "foo")
+        model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0", device_map="auto")
+        self.assertEqual(model.generation_config.max_length, 2048)
 
     @require_safetensors
     def test_safetensors_torch_from_torch(self):