openvinotoolkit/nncf
Nov 2024 – Jul 2025
3 Months active
Languages Used
MarkdownPythonC++
Technical Skills
DocumentationDeep Learning FrameworksModel OptimizationNPU OptimizationQuantizationWeight Compression
andreyanufr
PROFILE
Andreyanufr
Andrey Anufriev contributed to the openvinotoolkit/nncf repository by developing advanced model compression features and improving documentation clarity. He implemented data-free Activation-aware Weight Quantization, enabling quantization without activation datasets by deriving scaling factors from weights, and added FP8 quantization support for the SDPA layer on NPU, updating quantizer solvers and input ports. Andrey enhanced LUT-based weight compression with new CODEBOOK and CB4_F8E4M3 modes, improved test reliability, and introduced safeguards against FP16 overflow in AWQ. His work, primarily in Python and C++, demonstrated deep learning, quantization, and debugging expertise, resulting in more robust, maintainable, and accessible model optimization tools.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
4
Lines of code
2,105
Activity Months3
Your Network
1981 people
Work History
July 2025
3 Commits • 1 Features
Jul 1, 2025Concise monthly summary for July 2025 focusing on NNCF weight compression enhancements, testing robustness, and deployment stability across OpenVINO integration. Overall, delivered substantive improvements to LUT-based weight compression, fixed critical test output capture, and added stability safeguards for AWQ FP16 accumulation, reinforcing model compression capabilities and deployment reliability.
3 Commits • 1 Features
Jul 1, 2025Concise monthly summary for July 2025 focusing on NNCF weight compression enhancements, testing robustness, and deployment stability across OpenVINO integration. Overall, delivered substantive improvements to LUT-based weight compression, fixed critical test output capture, and added stability safeguards for AWQ FP16 accumulation, reinforcing model compression capabilities and deployment reliability.
July 2025
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for openvinotoolkit/nncf. Implemented data-free Activation-aware Weight Quantization (AWQ) mode enabling AWQ without activation datasets by deriving scaling factors from weights. Introduced FP8 quantization support for the SDPA layer on NPU, including updates to the quantizer propagation solver to handle FP8, adjustments to SDPA input ports, and comprehensive FP8 quantization tests. Focused on delivering business value by expanding quantization capabilities in data-constrained environments and on targeted hardware, accelerating deployment and validation of quantized models.
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for openvinotoolkit/nncf. Implemented data-free Activation-aware Weight Quantization (AWQ) mode enabling AWQ without activation datasets by deriving scaling factors from weights. Introduced FP8 quantization support for the SDPA layer on NPU, including updates to the quantizer propagation solver to handle FP8, adjustments to SDPA input ports, and comprehensive FP8 quantization tests. Focused on delivering business value by expanding quantization capabilities in data-constrained environments and on targeted hardware, accelerating deployment and validation of quantized models.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 (openvinotoolkit/nncf): Key feature delivered — Documentation Improvement: corrected Usage.md to replace an irrelevant MX docs reference with a link to the E2M1 data type specification, clarifying the compression modes. Major bugs fixed — none reported for this repo this month. Overall impact and accomplishments — improved accuracy and navigability of developer docs, reducing potential confusion and support queries; better alignment with current specifications, contributing to faster onboarding and reliable usage of NNCF compression features. Technologies/skills demonstrated — documentation best practices, cross-repo referencing, commit-level traceability, and collaboration (as evidenced by attribution in commit).
1 Commits • 1 Features
Nov 1, 2024November 2024 (openvinotoolkit/nncf): Key feature delivered — Documentation Improvement: corrected Usage.md to replace an irrelevant MX docs reference with a link to the E2M1 data type specification, clarifying the compression modes. Major bugs fixed — none reported for this repo this month. Overall impact and accomplishments — improved accuracy and navigability of developer docs, reducing potential confusion and support queries; better alignment with current specifications, contributing to faster onboarding and reliable usage of NNCF compression features. Technologies/skills demonstrated — documentation best practices, cross-repo referencing, commit-level traceability, and collaboration (as evidenced by attribution in commit).
November 2024
Activity
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Quality Metrics
Correctness91.8%
Maintainability83.4%
Architecture85.0%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MarkdownPython
Technical Skills
Codebook CompressionDebuggingDeep LearningDeep Learning FrameworksDocumentationFP8Large Language ModelsModel CompressionModel OptimizationNPU OptimizationOpenVINOQuantizationTestingWeight Compression
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