diff --git a/.github/workflows/job_pytorch_models_tests.yml b/.github/workflows/job_pytorch_models_tests.yml
index 8f3699f6ab42a2..22a09dffba779f 100644
--- a/.github/workflows/job_pytorch_models_tests.yml
+++ b/.github/workflows/job_pytorch_models_tests.yml
@@ -137,7 +137,7 @@ jobs:
         if: ${{ inputs.model_scope == 'precommit' }}
         run: |
           export PYTHONPATH=${MODEL_HUB_TESTS_INSTALL_DIR}:$PYTHONPATH
-          python3 -m pytest ${MODEL_HUB_TESTS_INSTALL_DIR}/transformation_tests/test_pa_transformation.py -m precommit --html=${INSTALL_TEST_DIR}/TEST-torch_pagedattention_tests.html --self-contained-html -v --tb=short -n 2
+          python3 -m pytest ${MODEL_HUB_TESTS_INSTALL_DIR}/transformation_tests/test_pa_transformation.py -m precommit --html=${INSTALL_TEST_DIR}/TEST-torch_pagedattention_tests.html --self-contained-html -vvv -s --tb=short -n 2
         env:
           TEST_DEVICE: CPU
           USE_SYSTEM_CACHE: False
diff --git a/tests/model_hub_tests/transformation_tests/generate_ref_diffs.py b/tests/model_hub_tests/transformation_tests/generate_ref_diffs.py
new file mode 100644
index 00000000000000..6823256b3ccfc5
--- /dev/null
+++ b/tests/model_hub_tests/transformation_tests/generate_ref_diffs.py
@@ -0,0 +1,94 @@
+# Copyright (C) 2018-2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+'''
+Use this script if you need to regenerate reference diffs for each model
+to test SDPAToPA transformation.
+
+The script will produce sdpa2pa_ref_diff.txt (or sdpa2pa_ref_diff_cache_eviction.txt
+if using cache-eviction) containing a map in the
+following format with nodes number changes for each model:
+
+ref_diff_map = {
+	"hf-internal-testing/tiny-random-LlamaForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-CohereForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+    .
+    .
+    .
+}
+
+The map has to be pasted into sdpa2pa_ref_diff.py (same directory) for
+includes to test SDPAToPA transformation.
+
+Run the script by using 'python generate_ref_diffs.py' or 'python generate_ref_diffs.py True'
+for generating the same map, but utilizing cache-eviction.
+'''
+
+import os
+import sys
+from pathlib import Path
+import models_hub_common.utils as utils
+from openvino._offline_transformations import paged_attention_transformation
+from openvino._pyopenvino.op import _PagedAttentionExtension, Parameter, Result
+from optimum.intel import OVModelForCausalLM
+
+nodes_to_compare = ("ScaledDotProductAttention", "PagedAttentionExtension", "Parameter", "ReadValue", "Assign")
+
+def main():
+    use_cache_eviction = False
+    if len(sys.argv) >= 2:
+        use_cache_eviction = sys.argv[1].lower() in 'true'
+
+    OUTPUT_FILE = Path(os.path.join(os.path.dirname(__file__)), 'sdpa2pa_ref_diff' + ('_cache_eviction.txt' if use_cache_eviction else '.txt'))
+
+    if OUTPUT_FILE.exists() and OUTPUT_FILE.is_file():
+        OUTPUT_FILE.unlink()
+    
+    with open(OUTPUT_FILE, 'w') as file:
+        model_list = utils.get_models_list(os.path.join(os.path.dirname(__file__), "models", "hf-tiny-random-models-precommit"))
+        print(OUTPUT_FILE)
+        print('ref_diff_map_cache_eviction = {' if use_cache_eviction else 'ref_diff_map = {', file=file)
+
+        for model_id, _, _, _ in model_list:
+            # wrapping in try/catch block to continue printing models even if one has failed
+            try:
+                model = OVModelForCausalLM.from_pretrained(model_id, export=True, trust_remote_code=True)
+            except:
+                continue
+
+            before_map = {}
+            for op in model.model.get_ordered_ops():
+                if op.get_type_name() in nodes_to_compare:
+                    before_map[op.get_type_name()] = before_map.get(op.get_type_name(), 0) + 1
+
+            # wrapping in try/catch block to continue printing models even if one has failed
+            try:
+                paged_attention_transformation(model.model, use_cache_eviction, use_cache_eviction)
+            except:
+                continue
+
+            after_map = {}
+            for op in model.model.get_ordered_ops():
+                if op.get_type_name() in nodes_to_compare:
+                    after_map[op.get_type_name()] = after_map.get(op.get_type_name(), 0) + 1
+
+            print(f'\t"{model_id}" : {{', file=file)
+            for op in set(after_map.keys()) | set(before_map.keys()):
+                print(f'\t\t"{op}" : {after_map.get(op, 0) - before_map.get(op, 0)},', file=file)
+            print('\t},', file=file)
+        print('}', file=file)
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/tests/model_hub_tests/transformation_tests/models/hf-tiny-random-models-precommit b/tests/model_hub_tests/transformation_tests/models/hf-tiny-random-models-precommit
index c3ec331fcda0bc..7c89c451ea4be5 100644
--- a/tests/model_hub_tests/transformation_tests/models/hf-tiny-random-models-precommit
+++ b/tests/model_hub_tests/transformation_tests/models/hf-tiny-random-models-precommit
@@ -40,7 +40,4 @@ Xenova/tiny-random-Phi3ForCausalLM,https://huggingface.co/Xenova/tiny-random-Phi
 facebook/opt-125m,https://huggingface.co/facebook/opt-125m
 facebook/opt-350m,https://huggingface.co/facebook/opt-350m
 katuni4ka/tiny-random-chatglm2,https://huggingface.co/katuni4ka/tiny-random-chatglm2
-katuni4ka/tiny-random-glm4,https://huggingface.co/katuni4ka/tiny-random-glm4
-hf-internal-testing/tiny-random-BioGptForCausalLM,https://huggingface.co/hf-internal-testing/tiny-random-BioGptForCausalLM,xfail,No ScaledDotProductAttention operation observed in the graph CVS-145820
-hf-internal-testing/tiny-random-XGLMForCausalLM,https://huggingface.co/hf-tiny-model-private/tiny-random-XGLMForCausalLM,xfail,No ScaledDotProductAttention operation observed in the graph CVS-145820
-katuni4ka/tiny-random-orion,https://huggingface.co/katuni4ka/tiny-random-orion,xfail,No ScaledDotProductAttention operation observed in the graph CVS-145820
\ No newline at end of file
+katuni4ka/tiny-random-glm4,https://huggingface.co/katuni4ka/tiny-random-glm4
\ No newline at end of file
diff --git a/tests/model_hub_tests/transformation_tests/sdpa2pa_ref_diff.py b/tests/model_hub_tests/transformation_tests/sdpa2pa_ref_diff.py
new file mode 100644
index 00000000000000..23af913d9d102f
--- /dev/null
+++ b/tests/model_hub_tests/transformation_tests/sdpa2pa_ref_diff.py
@@ -0,0 +1,612 @@
+# Copyright (C) 2018-2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+nodes_to_compare = ("ScaledDotProductAttention", "PagedAttentionExtension", "Parameter", "ReadValue", "Assign")
+
+ref_diff_map = {
+	"hf-internal-testing/tiny-random-LlamaForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-CohereForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-GPTJForCausalLM" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 13,
+		"ReadValue" : -10,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-GPTNeoForCausalLM" : {
+		"PagedAttentionExtension" : 4,
+		"ScaledDotProductAttention" : -4,
+		"Parameter" : 11,
+		"ReadValue" : -8,
+		"Assign" : -8,
+	},
+	"hf-internal-testing/tiny-random-GPTNeoXForCausalLM" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 13,
+		"ReadValue" : -10,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-MistralForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-CodeGenForCausalLM" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 13,
+		"ReadValue" : -10,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/Mixtral-tiny" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-GPTBigCodeForCausalLM" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 13,
+		"ReadValue" : -5,
+		"Assign" : -5,
+	},
+	"hf-internal-testing/tiny-random-Starcoder2ForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-BloomForCausalLM" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 14,
+		"ReadValue" : -10,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-gpt2" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 13,
+		"ReadValue" : -10,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-BlenderbotForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 8,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-PegasusForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 8,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-PhiForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-MptForCausalLM" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 14,
+		"ReadValue" : -10,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-StableLmForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-PersimmonForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-FalconForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"hf-tiny-model-private/tiny-random-OPTForCausalLM" : {
+		"PagedAttentionExtension" : 5,
+		"ScaledDotProductAttention" : -5,
+		"Parameter" : 14,
+		"ReadValue" : -10,
+		"Assign" : -10,
+	},
+	"katuni4ka/tiny-random-xverse" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-baichuan2-13b" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-qwen" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-aquilachat" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-aquila2" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-qwen1.5-moe" : {
+		"PagedAttentionExtension" : 4,
+		"ScaledDotProductAttention" : -4,
+		"Parameter" : 11,
+		"ReadValue" : -8,
+		"Assign" : -8,
+	},
+	"katuni4ka/tiny-random-codegen2" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-olmo-hf" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-baichuan2" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-jais" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-internlm" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-internlm2" : {
+		"PagedAttentionExtension" : 4,
+		"ScaledDotProductAttention" : -4,
+		"Parameter" : 11,
+		"ReadValue" : -8,
+		"Assign" : -8,
+	},
+    "katuni4ka/tiny-random-minicpm" : {
+        "ReadValue" : -8,
+        "ScaledDotProductAttention" : -4,
+        "Assign" : -8,
+        "PagedAttentionExtension" : 4,
+        "Parameter" : 11,
+    },
+	"katuni4ka/tiny-random-falcon-40b" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-dbrx" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"fxmarty/tiny-random-GemmaForCausalLM" : {
+		"PagedAttentionExtension" : 1,
+		"ScaledDotProductAttention" : -1,
+		"Parameter" : 5,
+		"ReadValue" : -2,
+		"Assign" : -2,
+	},
+	"fxmarty/tiny-dummy-qwen2" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"fxmarty/really-tiny-falcon-testing" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"Xenova/tiny-random-Phi3ForCausalLM" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"facebook/opt-125m" : {
+		"PagedAttentionExtension" : 12,
+		"ScaledDotProductAttention" : -12,
+		"Parameter" : 28,
+		"ReadValue" : -24,
+		"Assign" : -24,
+	},
+	"facebook/opt-350m" : {
+		"PagedAttentionExtension" : 24,
+		"ScaledDotProductAttention" : -24,
+		"Parameter" : 52,
+		"ReadValue" : -48,
+		"Assign" : -48,
+	},
+	"katuni4ka/tiny-random-chatglm2" : {
+		"PagedAttentionExtension" : 2,
+		"ScaledDotProductAttention" : -2,
+		"Parameter" : 7,
+		"ReadValue" : -4,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-glm4" : {
+		"PagedAttentionExtension" : 6,
+		"ScaledDotProductAttention" : -6,
+		"Parameter" : 15,
+		"ReadValue" : -12,
+		"Assign" : -12,
+	},
+}
+
+ref_diff_map_cache_eviction = {
+	"hf-internal-testing/tiny-random-LlamaForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-CohereForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-GPTJForCausalLM" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -10,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 17,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-GPTNeoForCausalLM" : {
+		"ScaledDotProductAttention" : -4,
+		"ReadValue" : -8,
+		"PagedAttentionExtension" : 4,
+		"Parameter" : 14,
+		"Assign" : -8,
+	},
+	"hf-internal-testing/tiny-random-GPTNeoXForCausalLM" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -10,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 17,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-MistralForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-CodeGenForCausalLM" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -10,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 17,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/Mixtral-tiny" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-GPTBigCodeForCausalLM" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -5,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 17,
+		"Assign" : -5,
+	},
+	"hf-internal-testing/tiny-random-Starcoder2ForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-BloomForCausalLM" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -10,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 18,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-gpt2" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -10,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 17,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-BlenderbotForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 9,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-PegasusForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 9,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-PhiForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-MptForCausalLM" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -10,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 18,
+		"Assign" : -10,
+	},
+	"hf-internal-testing/tiny-random-StableLmForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-PersimmonForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-internal-testing/tiny-random-FalconForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"hf-tiny-model-private/tiny-random-OPTForCausalLM" : {
+		"ScaledDotProductAttention" : -5,
+		"ReadValue" : -10,
+		"PagedAttentionExtension" : 5,
+		"Parameter" : 18,
+		"Assign" : -10,
+	},
+	"katuni4ka/tiny-random-xverse" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-baichuan2-13b" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-qwen" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-aquilachat" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-aquila2" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-qwen1.5-moe" : {
+		"ScaledDotProductAttention" : -4,
+		"ReadValue" : -8,
+		"PagedAttentionExtension" : 4,
+		"Parameter" : 14,
+		"Assign" : -8,
+	},
+	"katuni4ka/tiny-random-codegen2" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-olmo-hf" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-baichuan2" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-jais" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-internlm" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-internlm2" : {
+		"ScaledDotProductAttention" : -4,
+		"ReadValue" : -8,
+		"PagedAttentionExtension" : 4,
+		"Parameter" : 14,
+		"Assign" : -8,
+	},
+    "katuni4ka/tiny-random-minicpm" : {
+        "ScaledDotProductAttention" : -4,
+        "Parameter" : 14,
+        "PagedAttentionExtension" : 4,
+        "ReadValue" : -8,
+        "Assign" : -8,
+    },
+	"katuni4ka/tiny-random-falcon-40b" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-dbrx" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"fxmarty/tiny-random-GemmaForCausalLM" : {
+		"ScaledDotProductAttention" : -1,
+		"ReadValue" : -2,
+		"PagedAttentionExtension" : 1,
+		"Parameter" : 5,
+		"Assign" : -2,
+	},
+	"fxmarty/tiny-dummy-qwen2" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"fxmarty/really-tiny-falcon-testing" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"Xenova/tiny-random-Phi3ForCausalLM" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"facebook/opt-125m" : {
+		"ScaledDotProductAttention" : -12,
+		"ReadValue" : -24,
+		"PagedAttentionExtension" : 12,
+		"Parameter" : 39,
+		"Assign" : -24,
+	},
+	"facebook/opt-350m" : {
+		"ScaledDotProductAttention" : -24,
+		"ReadValue" : -48,
+		"PagedAttentionExtension" : 24,
+		"Parameter" : 75,
+		"Assign" : -48,
+	},
+	"katuni4ka/tiny-random-chatglm2" : {
+		"ScaledDotProductAttention" : -2,
+		"ReadValue" : -4,
+		"PagedAttentionExtension" : 2,
+		"Parameter" : 8,
+		"Assign" : -4,
+	},
+	"katuni4ka/tiny-random-glm4" : {
+		"ScaledDotProductAttention" : -6,
+		"ReadValue" : -12,
+		"PagedAttentionExtension" : 6,
+		"Parameter" : 20,
+		"Assign" : -12,
+	},
+}
diff --git a/tests/model_hub_tests/transformation_tests/test_pa_transformation.py b/tests/model_hub_tests/transformation_tests/test_pa_transformation.py
index dc65324d4f028b..02481439818f28 100644
--- a/tests/model_hub_tests/transformation_tests/test_pa_transformation.py
+++ b/tests/model_hub_tests/transformation_tests/test_pa_transformation.py
@@ -6,6 +6,7 @@
 from optimum.intel import OVModelForCausalLM
 from models_hub_common.utils import retry
 import models_hub_common.utils as utils
+from sdpa2pa_ref_diff import ref_diff_map, ref_diff_map_cache_eviction, nodes_to_compare
 import pytest
 import os
 import re
@@ -14,15 +15,28 @@
 def run_pa(tmp_path, model_id, model_link, use_block_indices_inputs, use_score_outputs):
     model = OVModelForCausalLM.from_pretrained(model_id, export=True, trust_remote_code=True)
 
+    before_map = {}
+    for op in model.model.get_ordered_ops():
+        if op.get_type_name() in nodes_to_compare:
+            before_map[op.get_type_name()] = before_map.get(op.get_type_name(), 0) + 1
+
     paged_attention_transformation(model.model, use_block_indices_inputs, use_score_outputs)
 
-    # Test that a _PagedAttentionExtension node appeared after the transformation.
-    pa_counter = 0
+    after_map = {}
     for op in model.model.get_ordered_ops():
-        if isinstance(op, _PagedAttentionExtension):
-            pa_counter += 1
+        if op.get_type_name() in nodes_to_compare:
+            after_map[op.get_type_name()] = after_map.get(op.get_type_name(), 0) + 1
+
+    # Collect the changes of nodes from nodes_to_compare
+    # And check if the numbers correspond to the reference ones
+    resulting_map = {}
+    for op in set(after_map.keys()) | set(before_map.keys()):
+        resulting_map[op] = after_map.get(op, 0) - before_map.get(op, 0)
+
+    use_cache_eviction = use_block_indices_inputs and use_score_outputs
+    reference_map = ref_diff_map_cache_eviction[model_id] if use_cache_eviction else ref_diff_map[model_id]
 
-    assert pa_counter > 0, f"The model '{model_id}' has no _PagedAttentionExtension present."
+    assert reference_map == resulting_map
 
     model_inputs = model.model.inputs
     for input in model_inputs:
@@ -45,7 +59,8 @@ def run_pa(tmp_path, model_id, model_link, use_block_indices_inputs, use_score_o
                 if re.search(block_indices_pattern, name):
                     block_indices_counter += 1
 
-        assert(block_indices_counter == pa_counter)
+        assert block_indices_counter == resulting_map["PagedAttentionExtension"], \
+               f"The number of block_indices inputs doesn't correspond to the expected value. Expected {resulting_map['PagedAttentionExtension']}, received {block_indices_counter}"
     
     if (use_score_outputs):
         score_pattern = r'scores\.[0-9]+'
@@ -57,7 +72,8 @@ def run_pa(tmp_path, model_id, model_link, use_block_indices_inputs, use_score_o
                 if re.search(score_pattern, name):
                     score_outputs_counter += 1
 
-        assert(score_outputs_counter == pa_counter)
+        assert block_indices_counter == resulting_map["PagedAttentionExtension"], \
+               f"The number of scores outputs doesn't correspond to the expected value. Expected {resulting_map['PagedAttentionExtension']}, received {block_indices_counter}"
 
 @pytest.mark.precommit
 @pytest.mark.parametrize("model_name, model_link, mark, reason", utils.get_models_list(os.path.join(os.path.dirname(__file__), "models", "hf-tiny-random-models-precommit")))