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AlexanderDokuchaevAlexanderDokuchaev
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Fix nightly jobs (#3689)
### Changes - Revert change #3675 in TF - Set xfail for 175018 - Fix versions of packages in examples - Revert change CPU HW config for "interpolate" ### Reason for changes nightly/job/torch_nightly/679/ https://github.com/openvinotoolkit/nncf/actions/runs/18578313236 ### Tests nightly/job/torch_nightly/680/ https://github.com/openvinotoolkit/nncf/actions/runs/18569219668/job/52938530670 https://github.com/openvinotoolkit/nncf/actions/runs/18600129621/job/53036290520
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‎examples/llm_compression/onnx/tiny_llama/requirements.txt‎

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transformers
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transformers==4.52.1
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openvino==2025.3.0
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optimum-intel[openvino]
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git+https://github.com/onnx/onnx.git@c25eebcf51b781dbfcc75a9c8bdf5dd1781367fe # onnx-1.19.0.dev
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onnxruntime==1.21.1
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torch==2.8.0

‎examples/llm_compression/onnx/tiny_llama_scale_estimation/requirements.txt‎

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torch==2.8.0
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transformers>=4.48.0
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transformers==4.52.1
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openvino==2025.3.0
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optimum-intel[openvino]
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onnx==1.17.0

‎examples/llm_compression/openvino/smollm2_360m_codebook/requirements.txt‎

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openvino==2025.3.0
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optimum-intel[openvino]>=1.22.0
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transformers>=4.48.0
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transformers==4.52.1
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onnx==1.17.0
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torch==2.8.0
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torchvision==0.23.0

‎examples/llm_compression/openvino/smollm2_360m_fp8/requirements.txt‎

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datasets
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openvino==2025.3.0
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optimum-intel[openvino]>=1.22.0
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transformers>=4.48.0
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transformers==4.52.1
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onnx==1.17.0
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torch==2.8.0

‎examples/llm_compression/openvino/tiny_llama/requirements.txt‎

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transformers>=4.48.0
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transformers==4.52.1
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datasets==2.14.7
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openvino==2025.3.0
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optimum-intel[openvino]>=1.22.0
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onnx==1.17.0
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torch==2.8.0

‎examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt‎

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datasets
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whowhatbench @ git+https://github.com/openvinotoolkit/openvino.genai@2025.3.0.0#subdirectory=tools/who_what_benchmark
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numpy>=1.23.5,<2
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numpy==1.26.4
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openvino==2025.3.0
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optimum-intel>=1.22.0
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transformers>=4.48.0
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optimum-intel==1.24.0
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transformers==4.52.1
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onnx==1.17.0
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torch==2.8.0

‎examples/llm_compression/openvino/tiny_llama_synthetic_data/requirements.txt‎

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numpy>=1.23.5,<2
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openvino==2025.3.0
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optimum-intel>=1.22.0
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transformers>=4.48.0
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transformers==4.52.1
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onnx==1.17.0

‎examples/llm_compression/torch/distillation_qat_with_lora/requirements.txt‎

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numpy>=1.23.5,<2
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openvino==2025.3.0
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optimum-intel>=1.22.0
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transformers>=4.48.0
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transformers==4.52.1
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lm_eval==0.4.8

‎examples/llm_compression/torch/downstream_qat_with_nls/requirements.txt‎

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numpy>=1.23.5,<2
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openvino==2025.3.0
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optimum-intel>=1.22.0
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transformers>=4.48.0
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transformers==4.52.1
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lm_eval==0.4.8

‎examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt‎

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torchvision
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tqdm
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scikit-learn
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fastdownload
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torch==2.8.0
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torchvision==0.23.0
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fastdownload==0.0.7
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onnx==1.17.0
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onnxruntime==1.21.1
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openvino==2025.3.0

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