[release_v300] Bump openvino RC 2026.0.0

.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

.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

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

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` |

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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
 

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}

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)