update

Author: openvino-dev-samples

tests/openvino/test_exporters_cli.py

@@ -788,7 +788,7 @@ def test_filtered_architectures(cls):
         elif is_transformers_version("<", "4.52"):
             expected = set()
         else:
-            expected = {"llava-qwen2", "phi3_v", "phi4mm", "minicpmo"}
+            expected = {"llava-qwen2", "phi3_v", "phi4mm", "minicpmo", "minicpmv4", "minicpmv4_5"}
 
         all_model_type = {config[1] for config in cls.TRANSFORMERS_4BIT_CONFIGURATIONS}
         filtered_model_type = {config[1] for config in cls.SUPPORTED_4BIT_CONFIGURATIONS}

tests/openvino/test_quantization.py

@@ -1038,7 +1038,7 @@ class OVWeightCompressionTest(unittest.TestCase):
                 ratio=0.8,
                 sensitivity_metric="mean_activation_magnitude",
                 num_samples=1,
-                processor=MODEL_NAMES["minicpmv"],
+                processor=MODEL_NAMES["minicpmv4"],
                 trust_remote_code=True,
             ),
             {
@@ -1059,7 +1059,7 @@ class OVWeightCompressionTest(unittest.TestCase):
                 ratio=0.8,
                 sensitivity_metric="mean_activation_magnitude",
                 num_samples=1,
-                processor=MODEL_NAMES["minicpmv"],
+                processor=MODEL_NAMES["minicpmv4_5"],
                 trust_remote_code=True,
             ),
             {
@@ -1095,8 +1095,8 @@ class OVWeightCompressionTest(unittest.TestCase):
         (OVModelForVisualCausalLM, "llava_next_video", False),
         (OVModelForVisualCausalLM, "minicpmv", True),
         (OVModelForVisualCausalLM, "qwen2_vl", False),
-        (OVModelForVisualCausalLM, "minicpmv4", False),
-        (OVModelForVisualCausalLM, "minicpmv4_5", False),
+        (OVModelForVisualCausalLM, "minicpmv4", True),
+        (OVModelForVisualCausalLM, "minicpmv4_5", True),
     ]
 
     if is_transformers_version("<", "4.54.0"):
@@ -1126,7 +1126,7 @@ def test_filtered_architectures(cls):
         elif is_transformers_version("<", "4.52"):
             expected = set()
         else:
-            expected = {"llava-qwen2", "phi3_v", "minicpmo"}
+            expected = {"llava-qwen2", "phi3_v", "minicpmo", "minicpmv4", "minicpmv4_5"}
 
         all_model_type = {config[1] for config in cls.TRANSFORMERS_4BIT_CONFIGURATIONS}
         filtered_model_type = {config[1] for config in cls.LOAD_IN_4_BITS_SCOPE}

tests/openvino/test_seq2seq.py

@@ -506,7 +506,17 @@ class OVModelForVisualCausalLMIntegrationTest(unittest.TestCase):
         SUPPORTED_ARCHITECTURES = set(SUPPORTED_ARCHITECTURES) - {"llava-qwen2", "phi3_v", "phi4mm"}
 
     TASK = "image-text-to-text"
-    REMOTE_CODE_MODELS = ["internvl_chat", "minicpmv", "minicpmv4", "minicpmv4_5", "minicpmo", "llava-qwen2", "phi3_v", "maira2", "phi4mm"]
+    REMOTE_CODE_MODELS = [
+        "internvl_chat",
+        "minicpmv",
+        "minicpmv4",
+        "minicpmv4_5",
+        "minicpmo",
+        "llava-qwen2",
+        "phi3_v",
+        "maira2",
+        "phi4mm",
+    ]
 
     IMAGE = Image.open(
         requests.get(
@@ -611,7 +621,7 @@ def test_compare_to_transformers(self, model_arch):
         self._check_device_and_request(ov_model, test_device, False)
 
         # pytorch minicpmv and internvl_chat are not designed to be used via forward
-        if model_arch not in ["minicpmv", "minicpmv4","minicpmv4_5","minicpmo", "internvl_chat"]:
+        if model_arch not in ["minicpmv", "minicpmv4", "minicpmv4_5", "minicpmo", "internvl_chat"]:
             set_seed(SEED)
             ov_outputs = ov_model(**inputs)
             set_seed(SEED)