diff --git a/.github/workflows/call_precommit.yml b/.github/workflows/call_precommit.yml
index a350240f94f..c39f5ae5e0c 100644
--- a/.github/workflows/call_precommit.yml
+++ b/.github/workflows/call_precommit.yml
@@ -32,14 +32,12 @@ jobs:
       - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: ${{ inputs.python_version }}
-      - name: Install uv
-        uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b # v7.2.0
       - name: Override constraints
         if: ${{ inputs.override_requirements != '' }}
         run: python .github/scripts/override_constraints.py "${{ inputs.override_requirements }}"
         shell: bash
       - name: Install NNCF and test requirements
-        run: uv pip install --system . -r tests/common/requirements.txt
+        run: pip install . -r tests/common/requirements.txt
       - name: Print installed modules
         run: pip list
       - name: Run common precommit test scope
@@ -60,14 +58,12 @@ jobs:
       - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: ${{ inputs.python_version }}
-      - name: Install uv
-        uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b # v7.2.0
       - name: Override constraints
         if: ${{ inputs.override_requirements != '' }}
         run: python .github/scripts/override_constraints.py "${{ inputs.override_requirements }}"
         shell: bash
       - name: Install NNCF and test requirements
-        run: uv pip install --system . -r tests/onnx/requirements.txt
+        run: pip install . -r tests/onnx/requirements.txt
       - name: Print installed modules
         run: pip list
       - name: Run ONNX precommit test scope
@@ -88,14 +84,12 @@ jobs:
       - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: ${{ inputs.python_version }}
-      - name: Install uv
-        uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b # v7.2.0
       - name: Override constraints
         if: ${{ inputs.override_requirements != '' }}
         run: python .github/scripts/override_constraints.py "${{ inputs.override_requirements }}"
         shell: bash
       - name: Install NNCF and test requirements
-        run: uv pip install --system . -r tests/openvino/requirements.txt
+        run: pip install . -r tests/openvino/requirements.txt
       - name: Print installed modules
         run: pip list
       - name: Run OV precommit test scope
@@ -116,10 +110,8 @@ jobs:
       - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: ${{ inputs.python_version }}
-      - name: Install uv
-        uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b # v7.2.0
       - name: Install test requirements
-        run: uv pip install --system . -r tests/tools/requirements.txt
+        run: pip install . -r tests/tools/requirements.txt
       - name: Print installed modules
         run: pip list
       - name: Run tools precommit test scope
@@ -138,14 +130,12 @@ jobs:
       - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: ${{ inputs.python_version }}
-      - name: Install uv
-        uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b # v7.2.0
       - name: Override constraints
         if: ${{ inputs.override_requirements != '' }}
         run: python .github/scripts/override_constraints.py "${{ inputs.override_requirements }}"
         shell: bash
       - name: Install NNCF and test requirements
-        run: uv pip install --system . -r tests/torch/requirements.txt
+        run: pip install . -r tests/torch/requirements.txt
       - name: Print installed modules
         run: pip list
       - name: Run torch precommit test scope
@@ -182,14 +172,12 @@ jobs:
       - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: ${{ inputs.python_version }}
-      - name: Install uv
-        uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b # v7.2.0
       - name: Override constraints
         if: ${{ inputs.override_requirements != '' }}
         run: python .github/scripts/override_constraints.py "${{ inputs.override_requirements }}"
         shell: bash
       - name: Install NNCF and test requirements
-        run: uv pip install --system . -r tests/torch/requirements.txt
+        run: pip install . -r tests/torch/requirements.txt
       - name: Print installed modules
         run: pip list
       - name: Check CUDA
diff --git a/.github/workflows/conformance_weight_compression.yml b/.github/workflows/conformance_weight_compression.yml
index 04da234cbde..b6f0902aa6b 100644
--- a/.github/workflows/conformance_weight_compression.yml
+++ b/.github/workflows/conformance_weight_compression.yml
@@ -2,6 +2,7 @@ name: Weight compression
 permissions: read-all
 
 on:
+  pull_request:
   workflow_call:
   workflow_dispatch:
     inputs:
@@ -37,12 +38,10 @@ jobs:
       - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: 3.10.14
-      - name: Install uv
-        uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b # v7.2.0
       - name: cpuinfo
         run: cat /proc/cpuinfo
       - name: Install NNCF and test requirements
-        run: uv pip install --system . -r tests/post_training/requirements.txt
+        run: pip install . -r tests/post_training/requirements.txt
       - name: Print installed modules
         run: pip list
       - name: Run examples test scope
diff --git a/constraints.txt b/constraints.txt
index a7d848f2bca..f7738f6ca07 100644
--- a/constraints.txt
+++ b/constraints.txt
@@ -1,5 +1,6 @@
 # Openvino
-openvino==2025.4.1
+openvino==2026.0.0rc1
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 
 # Pytorch
 torch==2.9.0
diff --git a/docs/Installation.md b/docs/Installation.md
index 5b0d736a25f..63b41d59109 100644
--- a/docs/Installation.md
+++ b/docs/Installation.md
@@ -48,7 +48,7 @@ as well as the supported versions of Python:
 
 | NNCF      | OpenVINO   | PyTorch  | ONNX     | TensorFlow | Python |
 |-----------|------------|----------|----------|------------|--------|
-| `develop` | `2025.4.1` | `2.9.0`  | `1.17.0` |            | `3.10` |
+| `3.0.0`   | `2026.0.0` | `2.9.0`  | `1.17.0` |            | `3.10` |
 | `2.19.0`  | `2025.4.0` | `2.8.0`  | `1.17.0` | `2.15.1`   | `3.10` |
 | `2.18.0`  | `2025.3.0` | `2.8.0`  | `1.17.0` | `2.15.1`   | `3.10` |
 | `2.17.0`  | `2025.2.0` | `2.7.1`  | `1.17.0` | `2.15.1`   | `3.10` |
diff --git a/examples/llm_compression/onnx/tiny_llama/requirements.txt b/examples/llm_compression/onnx/tiny_llama/requirements.txt
index 6b7090a9267..2f44aabdda0 100644
--- a/examples/llm_compression/onnx/tiny_llama/requirements.txt
+++ b/examples/llm_compression/onnx/tiny_llama/requirements.txt
@@ -1,5 +1,6 @@
 transformers==4.53.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel[openvino]==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/onnx/tiny_llama_scale_estimation/requirements.txt b/examples/llm_compression/onnx/tiny_llama_scale_estimation/requirements.txt
index eeff609219c..e9b03064290 100644
--- a/examples/llm_compression/onnx/tiny_llama_scale_estimation/requirements.txt
+++ b/examples/llm_compression/onnx/tiny_llama_scale_estimation/requirements.txt
@@ -1,6 +1,7 @@
 torch==2.9.0
 transformers==4.53.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel[openvino]==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/main.py b/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/main.py
index 847927ac3c5..8975609e00d 100644
--- a/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/main.py
+++ b/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/main.py
@@ -202,7 +202,7 @@ def load_model_and_tokenizer(model_id: str, export=True) -> tuple[OVModelForCaus
 
 
 def codebook_example(
-    model_id: str, compressed_model_id: str, adaptive_codebook: bool = False, num_elements: int = 10
+    model_id: str, compressed_model_id: str, adaptive_codebook: bool = False, num_elements: int = 12
 ) -> list[str]:
     """
     Example of using the adaptive codebook compression.
diff --git a/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/requirements.txt b/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/requirements.txt
index 825f3d195eb..723f5162c12 100644
--- a/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/requirements.txt
+++ b/examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/requirements.txt
@@ -1,5 +1,6 @@
 datasets==4.5.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel[openvino]==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/openvino/smollm2_360m_codebook/requirements.txt b/examples/llm_compression/openvino/smollm2_360m_codebook/requirements.txt
index f6ff871034a..fd4eb5bc236 100644
--- a/examples/llm_compression/openvino/smollm2_360m_codebook/requirements.txt
+++ b/examples/llm_compression/openvino/smollm2_360m_codebook/requirements.txt
@@ -1,4 +1,5 @@
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel[openvino]==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/openvino/smollm2_360m_fp8/requirements.txt b/examples/llm_compression/openvino/smollm2_360m_fp8/requirements.txt
index 3bea8a3a4c7..f94715610d2 100644
--- a/examples/llm_compression/openvino/smollm2_360m_fp8/requirements.txt
+++ b/examples/llm_compression/openvino/smollm2_360m_fp8/requirements.txt
@@ -1,5 +1,6 @@
 datasets==4.5.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel[openvino]==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/openvino/tiny_llama/requirements.txt b/examples/llm_compression/openvino/tiny_llama/requirements.txt
index f603d710762..58dd2d77cda 100644
--- a/examples/llm_compression/openvino/tiny_llama/requirements.txt
+++ b/examples/llm_compression/openvino/tiny_llama/requirements.txt
@@ -1,6 +1,7 @@
 datasets==4.5.0
 onnx==1.17.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel[openvino]==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt b/examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt
index 2bd63973082..eb9a34f3005 100644
--- a/examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt
+++ b/examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt
@@ -1,6 +1,8 @@
-whowhatbench @ git+https://github.com/openvinotoolkit/openvino.genai@2025.4.1.0#subdirectory=tools/who_what_benchmark
+whowhatbench @ git+https://github.com/openvinotoolkit/openvino.genai@releases/2026/0#subdirectory=tools/who_what_benchmark
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 numpy==1.26.4
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/openvino/tiny_llama_synthetic_data/requirements.txt b/examples/llm_compression/openvino/tiny_llama_synthetic_data/requirements.txt
index 3485d9e79ed..bd704db5c32 100644
--- a/examples/llm_compression/openvino/tiny_llama_synthetic_data/requirements.txt
+++ b/examples/llm_compression/openvino/tiny_llama_synthetic_data/requirements.txt
@@ -1,7 +1,8 @@
 torch==2.9.0
 datasets==4.5.0
 numpy>=1.23.5,<2
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/torch/distillation_qat_with_lora/requirements.txt b/examples/llm_compression/torch/distillation_qat_with_lora/requirements.txt
index ff91ffdc75c..6f5873e588c 100644
--- a/examples/llm_compression/torch/distillation_qat_with_lora/requirements.txt
+++ b/examples/llm_compression/torch/distillation_qat_with_lora/requirements.txt
@@ -1,7 +1,8 @@
 tensorboard==2.13.0
 torch==2.9.0
 numpy>=1.23.5,<2
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/torch/downstream_qat_with_nls/requirements.txt b/examples/llm_compression/torch/downstream_qat_with_nls/requirements.txt
index ff91ffdc75c..6f5873e588c 100644
--- a/examples/llm_compression/torch/downstream_qat_with_nls/requirements.txt
+++ b/examples/llm_compression/torch/downstream_qat_with_nls/requirements.txt
@@ -1,7 +1,8 @@
 tensorboard==2.13.0
 torch==2.9.0
 numpy>=1.23.5,<2
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum-intel==1.27.0
 optimum-onnx==0.1.0
 optimum==2.1.0
diff --git a/examples/llm_compression/torch_fx/tiny_llama/requirements.txt b/examples/llm_compression/torch_fx/tiny_llama/requirements.txt
index e5c758303d1..4952122b106 100644
--- a/examples/llm_compression/torch_fx/tiny_llama/requirements.txt
+++ b/examples/llm_compression/torch_fx/tiny_llama/requirements.txt
@@ -1,6 +1,7 @@
 transformers==4.53.0
 datasets==4.5.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 optimum==2.1.0
 torch==2.9.0
 torchvision==0.24.0
diff --git a/examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt b/examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt
index 1ade7164d43..8b066ebe77c 100644
--- a/examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt
+++ b/examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt
@@ -5,5 +5,6 @@ fastprogress==1.0.5
 fastcore==1.11.5
 onnx==1.17.0
 onnxruntime==1.21.1
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 numpy<2
diff --git a/examples/post_training_quantization/onnx/yolov8_quantize_with_accuracy_control/requirements.txt b/examples/post_training_quantization/onnx/yolov8_quantize_with_accuracy_control/requirements.txt
index e5874c716e2..e0a5d4a607b 100644
--- a/examples/post_training_quantization/onnx/yolov8_quantize_with_accuracy_control/requirements.txt
+++ b/examples/post_training_quantization/onnx/yolov8_quantize_with_accuracy_control/requirements.txt
@@ -1,5 +1,6 @@
 ultralytics==8.3.221
 onnx==1.17.0
 onnxruntime==1.21.1
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 torch==2.9.0
diff --git a/examples/post_training_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt b/examples/post_training_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt
index 4b29f268266..7714a98d9f7 100644
--- a/examples/post_training_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt
+++ b/examples/post_training_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt
@@ -1,3 +1,4 @@
 anomalib==0.6.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 numpy<2
diff --git a/examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt b/examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt
index 09f35f1583b..6602500f67e 100644
--- a/examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt
+++ b/examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt
@@ -4,4 +4,5 @@ scikit-learn
 fastdownload==0.0.7
 fastprogress==1.0.5
 fastcore==1.11.5
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
diff --git a/examples/post_training_quantization/openvino/yolo26/requirements.txt b/examples/post_training_quantization/openvino/yolo26/requirements.txt
index 8a224287028..cea8fa0b198 100644
--- a/examples/post_training_quantization/openvino/yolo26/requirements.txt
+++ b/examples/post_training_quantization/openvino/yolo26/requirements.txt
@@ -1,4 +1,5 @@
 ultralytics==8.4.7
 onnx==1.17.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 torch==2.9.0
diff --git a/examples/post_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt b/examples/post_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt
index fc0b5cc3f4f..77ef3227963 100644
--- a/examples/post_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt
+++ b/examples/post_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt
@@ -1,4 +1,5 @@
 ultralytics==8.3.221
 onnx==1.17.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 torch==2.9.0
diff --git a/examples/post_training_quantization/torch/mobilenet_v2/requirements.txt b/examples/post_training_quantization/torch/mobilenet_v2/requirements.txt
index 60d552c1150..0f1ac6a4e8e 100644
--- a/examples/post_training_quantization/torch/mobilenet_v2/requirements.txt
+++ b/examples/post_training_quantization/torch/mobilenet_v2/requirements.txt
@@ -1,7 +1,8 @@
 fastdownload==0.0.7
 fastprogress==1.0.5
 fastcore==1.11.5
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 scikit-learn
 torch==2.9.0
 torchvision==0.24.0
diff --git a/examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt b/examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt
index a2bbaecc5ee..3f2b3bfdbc5 100644
--- a/examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt
+++ b/examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt
@@ -2,7 +2,8 @@ fastdownload==0.0.7
 fastprogress==1.0.5
 fastcore==1.11.5
 onnx==1.17.0
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 pycocotools==2.0.7
 torch==2.9.0
 torchmetrics==1.0.1
diff --git a/examples/post_training_quantization/torch_fx/resnet18/requirements.txt b/examples/post_training_quantization/torch_fx/resnet18/requirements.txt
index aa68860cc0c..69e312ce826 100644
--- a/examples/post_training_quantization/torch_fx/resnet18/requirements.txt
+++ b/examples/post_training_quantization/torch_fx/resnet18/requirements.txt
@@ -1,6 +1,7 @@
 fastdownload==0.0.7
 fastprogress==1.0.5
 fastcore==1.11.5
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 torch==2.9.0
 torchvision==0.24.0
diff --git a/examples/pruning/torch/resnet18/requirements.txt b/examples/pruning/torch/resnet18/requirements.txt
index aa68860cc0c..69e312ce826 100644
--- a/examples/pruning/torch/resnet18/requirements.txt
+++ b/examples/pruning/torch/resnet18/requirements.txt
@@ -1,6 +1,7 @@
 fastdownload==0.0.7
 fastprogress==1.0.5
 fastcore==1.11.5
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 torch==2.9.0
 torchvision==0.24.0
diff --git a/examples/quantization_aware_training/torch/anomalib/requirements.txt b/examples/quantization_aware_training/torch/anomalib/requirements.txt
index f257a20f24a..b95c23638f2 100644
--- a/examples/quantization_aware_training/torch/anomalib/requirements.txt
+++ b/examples/quantization_aware_training/torch/anomalib/requirements.txt
@@ -1,6 +1,7 @@
 anomalib==2.2.0
 torch==2.9.0
-openvino==2025.3.0
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 requests==2.32.5
 matplotlib==3.10.7
 numpy==2.2.6
diff --git a/examples/quantization_aware_training/torch/resnet18/requirements.txt b/examples/quantization_aware_training/torch/resnet18/requirements.txt
index aa68860cc0c..69e312ce826 100644
--- a/examples/quantization_aware_training/torch/resnet18/requirements.txt
+++ b/examples/quantization_aware_training/torch/resnet18/requirements.txt
@@ -1,6 +1,7 @@
 fastdownload==0.0.7
 fastprogress==1.0.5
 fastcore==1.11.5
-openvino==2025.4.1
+openvino==2026.0.0rc2
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
 torch==2.9.0
 torchvision==0.24.0
diff --git a/src/nncf/experimental/quantization/algorithms/weight_compression/codebook_estimation.py b/src/nncf/experimental/quantization/algorithms/weight_compression/codebook_estimation.py
index f0139615a76..d96c88f5c3f 100644
--- a/src/nncf/experimental/quantization/algorithms/weight_compression/codebook_estimation.py
+++ b/src/nncf/experimental/quantization/algorithms/weight_compression/codebook_estimation.py
@@ -170,6 +170,7 @@ def apply(
 
             codebook = self.calculate_codebook(stats, weight, wp.reduction_axes, config, wp)
             res[weight_name] = CompressedWeight(None, None, None, codebook)
+            config.codebook_values = codebook
 
         return res
 
diff --git a/src/nncf/onnx/graph/model_transformer.py b/src/nncf/onnx/graph/model_transformer.py
index db8f2ee33dc..cbe723e7277 100644
--- a/src/nncf/onnx/graph/model_transformer.py
+++ b/src/nncf/onnx/graph/model_transformer.py
@@ -55,7 +55,7 @@ def __init__(self, model: onnx.ModelProto, inplace: bool = False):
         # and is larger than 2GB, this method silently returns an empty model.
         inferred_model = model if inplace else onnx.shape_inference.infer_shapes(model)
         super().__init__(inferred_model)
-        self.onnx_model_extractor = onnx.utils.Extractor(inferred_model)
+        self.onnx_model_extractor = None
         self._inplace = inplace
 
     @staticmethod
@@ -426,6 +426,9 @@ def _apply_model_extraction_transformation(self, transformation: ONNXModelExtrac
         if not output_tensor_names:
             output_tensor_names = [n.name for n in self._model.graph.output]
 
+        if self.onnx_model_extractor is None:
+            self.onnx_model_extractor = onnx.utils.Extractor(self._model)
+
         extracted_model = self.onnx_model_extractor.extract_model(input_tensor_names, output_tensor_names)
         if self._model.metadata_props:
             values = {p.key: p.value for p in self._model.metadata_props}
diff --git a/src/nncf/onnx/graph/passes.py b/src/nncf/onnx/graph/passes.py
index 6cf1d479ab5..fb863fe92a2 100644
--- a/src/nncf/onnx/graph/passes.py
+++ b/src/nncf/onnx/graph/passes.py
@@ -95,6 +95,7 @@ def compress_quantize_weights_transformation(model: onnx.ModelProto):
     """
     initializer = {x.name: x for x in model.graph.initializer}
     nodes_to_remove = []
+    removed_initializers = []
 
     version = max(model.opset_import[0].version, 19)
     QuantizeLinear = load_op("", "QuantizeLinear", version)
@@ -129,11 +130,19 @@ def compress_quantize_weights_transformation(model: onnx.ModelProto):
             block_size = get_node_attr_value(node, "block_size")
             y = QuantizeLinear.eval(x, y_scale, y_zero_point, axis=axis, block_size=block_size)
 
-        # Update an existing initializer. The new name is the name of the `QuantizeLinear` output.
+        # Create a new initializer with the `QuantizeLinear` output name
         tensor_proto = onnx.numpy_helper.from_array(y, name=node.output[0])
-        initializer[x_name].CopyFrom(tensor_proto)
+        # Remove the old initializer
+        model.graph.initializer.remove(initializer[x_name])
+        removed_initializers.append(x_name)
+        # Add the new initializer
+        model.graph.initializer.append(tensor_proto)
 
     # `QuantizeLinear` and `DequantizeLinear` nodes share initializers on ports 1 and 2,
     # so these initializers should not be removed.
     for x in nodes_to_remove:
         model.graph.node.remove(x)
+
+    for inp in list(model.graph.input):
+        if inp.name in removed_initializers:
+            model.graph.input.remove(inp)
diff --git a/src/nncf/quantization/algorithms/weight_compression/onnx_backend.py b/src/nncf/quantization/algorithms/weight_compression/onnx_backend.py
index 7be77949569..05910441fc5 100644
--- a/src/nncf/quantization/algorithms/weight_compression/onnx_backend.py
+++ b/src/nncf/quantization/algorithms/weight_compression/onnx_backend.py
@@ -494,11 +494,13 @@ def _replace_matmul_with_matmulnbits(
         # Insert the MatMulNBits node before the consumer nodes
         insert_index = len(model.graph.node)
 
+        old_output = original_matmul.output[0]
+        new_output = matmul_n_bits.output[0]
         for node in model.graph.node:
             for j, input_name in enumerate(node.input):
-                if input_name == original_matmul.name:
+                if input_name == old_output:
                     insert_index = min(insert_index, get_node_index(model, node.name))
-                    node.input[j] = matmul_n_bits
+                    node.input[j] = new_output
 
         # Insert the MatMulNBits node before the first consumer node
         model.graph.node.insert(insert_index, matmul_n_bits)
diff --git a/tests/cross_fw/examples/example_scope.json b/tests/cross_fw/examples/example_scope.json
index 8fbe4b95f9d..fff3fbaaf6f 100644
--- a/tests/cross_fw/examples/example_scope.json
+++ b/tests/cross_fw/examples/example_scope.json
@@ -311,9 +311,9 @@
         "accuracy_metrics": {
             "answers": [
                 "Paris.",
-                "Mont Blanc in the Alps.",
-                "Toronto in Ontario.",
-                "Osaka in Japan."
+                "Mount Blanc.",
+                "Toronto.",
+                "Fukuoka."
             ]
         }
     },
diff --git a/tests/onnx/quantization/test_ptq_regression.py b/tests/onnx/quantization/test_ptq_regression.py
index f05d499a233..3f440c4b3df 100644
--- a/tests/onnx/quantization/test_ptq_regression.py
+++ b/tests/onnx/quantization/test_ptq_regression.py
@@ -8,6 +8,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+from dataclasses import dataclass
 from pathlib import Path
 
 import numpy as np
@@ -25,21 +26,40 @@
 
 import nncf
 
+
+@dataclass
+class TestModel:
+    model_url: str
+    model_name: str
+    int8_ref_top1: float
+    num_inputs_initial_model: int
+    num_inputs_quantized_model: int
+
+    def __str__(self) -> str:
+        return self.model_name
+
+
 MODELS = [
-    (
+    TestModel(
         "https://github.com/onnx/models/raw/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/mobilenet/model/mobilenetv2-12.onnx",
         "mobilenetv2-12",
         0.7864968152866242,
+        1,
+        1,
     ),
-    (
+    TestModel(
         "https://github.com/onnx/models/raw/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/resnet/model/resnet50-v1-7.onnx",
         "resnet50-v1-7",
         0.8114649681528663,
+        300,
+        246,
     ),
-    (
+    TestModel(
         "https://github.com/onnx/models/raw/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.onnx",
         "efficientnet-lite4-11",
         0.8035668789808917,
+        1,
+        1,
     ),
 ]
 
@@ -111,9 +131,9 @@ def res_callback(infer_request: ov.InferRequest, userdata) -> None:
     return accuracy_score(predictions, references)
 
 
-@pytest.mark.parametrize("model_url, model_name, int8_ref_top1", MODELS, ids=[model_name[1] for model_name in MODELS])
-def test_compression(tmp_path, model_dir, data_dir, model_url, model_name, int8_ref_top1):
-    original_model_path = download_model(model_url, model_dir)
+@pytest.mark.parametrize("test_model", MODELS, ids=str)
+def test_compression(tmp_path, model_dir, data_dir, test_model):
+    original_model_path = download_model(test_model.model_url, model_dir)
     dataset_path = download_dataset(data_dir)
 
     normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
@@ -126,7 +146,9 @@ def test_compression(tmp_path, model_dir, data_dir, model_url, model_name, int8_
                 transforms.ToTensor(),
                 normalize,
                 transforms.Lambda(
-                    lambda images: torch.moveaxis(images, 0, 2) if model_name == "efficientnet-lite4-11" else images
+                    lambda images: torch.moveaxis(images, 0, 2)
+                    if test_model.model_name == "efficientnet-lite4-11"
+                    else images
                 ),
             ]
         ),
@@ -142,10 +164,15 @@ def transform_fn(data_item):
         images, _ = data_item
         return {input_name: images.numpy()}
 
+    assert len([inp.name for inp in converted_model.graph.input]) == test_model.num_inputs_initial_model
+
     calibration_dataset = nncf.Dataset(val_loader, transform_fn)
     quantized_model = nncf.quantize(converted_model, calibration_dataset)
+
+    assert len([inp.name for inp in quantized_model.graph.input]) == test_model.num_inputs_quantized_model
+
     int8_model_path = tmp_path / "quantized_model.onnx"
     onnx.save_model(quantized_model, str(int8_model_path))
     int8_top1 = validate(int8_model_path, val_loader)
     print(f"INT8 metrics = {int8_top1}")
-    assert abs(int8_top1 - int8_ref_top1) < 3e-3  # 0.03 deviations
+    assert abs(int8_top1 - test_model.int8_ref_top1) < 3e-3  # 0.03 deviations
diff --git a/tests/openvino/native/quantization/test_gptq.py b/tests/openvino/native/quantization/test_gptq.py
index 9834f0b7e38..351e78725c7 100644
--- a/tests/openvino/native/quantization/test_gptq.py
+++ b/tests/openvino/native/quantization/test_gptq.py
@@ -337,7 +337,7 @@ def forward(self, x):
 
 
 def _create_ov_model(weights: np.ndarray, input_shape: tuple, is_3d_weights: bool = False):
-    import openvino.runtime.opset13 as opset
+    import openvino.opset13 as opset
 
     param = opset.parameter(input_shape, dtype=np.float32, name="input")
     const = opset.constant(weights, dtype=np.float32, name="self.weight")
diff --git a/tests/post_training/data/wc_reference_data.yaml b/tests/post_training/data/wc_reference_data.yaml
index cd3ccbda6c7..60e10e7ad33 100644
--- a/tests/post_training/data/wc_reference_data.yaml
+++ b/tests/post_training/data/wc_reference_data.yaml
@@ -4,11 +4,11 @@ tinyllama_data_free_backend_OV:
   num_int8: 84
 tinyllama_data_free_backend_ONNX:
   metric_value: 0.73779
-  num_int4: 264
+  num_int4: 228
   num_int8: 84
 tinyllama_data_free_opset19_backend_ONNX:
   metric_value: 0.73779
-  num_int4: 264
+  num_int4: 228
   num_int8: 84
 tinyllama_data_aware_backend_OV:
   metric_value: 0.85767
@@ -36,7 +36,7 @@ tinyllama_data_aware_awq_scale_estimation_stateful_backend_OV:
   num_int8: 124
 tinyllama_data_aware_awq_scale_estimation_backend_ONNX:
   metric_value: 0.85502
-  num_int4: 230
+  num_int4: 188
   num_int8: 124
 tinyllama_int8_data_free_backend_TORCH:
   metric_value: 0.95624
@@ -132,9 +132,9 @@ tinyllama_data_free_awq_backend_FX_TORCH:
   num_int8: 124
 tinyllama_data_free_awq_backend_ONNX:
   metric_value: 0.8597
-  num_int4: 230
+  num_int4: 188
   num_int8: 124
 tinyllama_data_aware_backend_ONNX:
   metric_value: 0.85807
-  num_int4: 230
+  num_int4: 188
   num_int8: 124
diff --git a/tests/post_training/requirements.txt b/tests/post_training/requirements.txt
index 07822dec02c..3ba283575c8 100644
--- a/tests/post_training/requirements.txt
+++ b/tests/post_training/requirements.txt
@@ -24,4 +24,5 @@ tensorflow-io==0.32.0
 timm==0.9.2
 accelerate==1.9.0
 transformers==4.53.0
-whowhatbench @ git+https://github.com/openvinotoolkit/openvino.genai@2025.4.1.0#subdirectory=tools/who_what_benchmark
+whowhatbench @ git+https://github.com/openvinotoolkit/openvino.genai@releases/2026/0#subdirectory=tools/who_what_benchmark
+--extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly --pre
diff --git a/tools/activation_profiler/profiler.py b/tools/activation_profiler/profiler.py
index 58199034b36..9b9345047a4 100644
--- a/tools/activation_profiler/profiler.py
+++ b/tools/activation_profiler/profiler.py
@@ -22,7 +22,7 @@
 from typing import Any, Optional, Union
 
 import numpy as np
-import openvino.runtime as ov
+import openvino as ov
 import pandas as pd
 
 from nncf.common.tensor_statistics.builders import get_raw_stat_collector
@@ -56,7 +56,7 @@ class NNCFProfiler:
     Example
     -------
     ```python
-    import openvino.runtime as ov
+    import openvino as ov
     from nncf import Dataset
 
     model = ov.Core().read_model("model.xml")