add minicpmv back

Author: echarlaix

tests/openvino/test_modeling.py

@@ -2130,9 +2130,7 @@ class OVModelForVisualCausalLMIntegrationTest(unittest.TestCase):
     if is_transformers_version(">=", "4.40.0"):
         SUPPORTED_ARCHITECTURES += ["llava_next", "nanollava"]
     if is_transformers_version(">=", "4.45.0"):
-        SUPPORTED_ARCHITECTURES += ["internvl2", "phi3_v", "qwen2_vl"]
-        # TODO: add back when https://huggingface.co/katuni4ka/tiny-random-minicpmv-2_6/discussions/1 merged
-        # SUPPORTED_ARCHITECTURES += ["minicpmv", "internvl2", "phi3_v", "qwen2_vl"]
+        SUPPORTED_ARCHITECTURES += ["minicpmv", "internvl2", "phi3_v", "qwen2_vl"]
 
     if is_transformers_version(">=", "4.46.0"):
         SUPPORTED_ARCHITECTURES += ["maira2"]

tests/openvino/test_quantization.py

@@ -583,23 +583,22 @@ class OVWeightCompressionTest(unittest.TestCase):
     if is_transformers_version(">=", "4.45.0"):
         LOAD_IN_4_BITS_SCOPE.extend(
             [
-                # TODO: add back when https://huggingface.co/katuni4ka/tiny-random-minicpmv-2_6/discussions/1 merged
-                # (
-                #     OVModelForVisualCausalLM,
-                #     "minicpmv",
-                #     True,
-                #     dict(
-                #         bits=4,
-                #         group_size=16,
-                #         dataset="contextual",
-                #         ratio=0.8,
-                #         sensitivity_metric="mean_activation_magnitude",
-                #         num_samples=1,
-                #         processor=MODEL_NAMES["minicpmv"],
-                #         trust_remote_code=True,
-                #     ),
-                #     [{"int8": 8, "int4": 22}, {"int8": 1}, {"int8": 26}, {"int8": 6}],
-                # ),
+                (
+                    OVModelForVisualCausalLM,
+                    "minicpmv",
+                    True,
+                    dict(
+                        bits=4,
+                        group_size=16,
+                        dataset="contextual",
+                        ratio=0.8,
+                        sensitivity_metric="mean_activation_magnitude",
+                        num_samples=1,
+                        processor=MODEL_NAMES["minicpmv"],
+                        trust_remote_code=True,
+                    ),
+                    [{"int8": 8, "int4": 22}, {"int8": 1}, {"int8": 26}, {"int8": 6}],
+                ),
                 (
                     OVModelForVisualCausalLM,
                     "internvl2",