vllm-project/vllm-gaudi
Dec 2025 – Feb 2026
3 Months active
Languages Used
Python
Technical Skills
Pythondeep learningmachine learningmodel optimizationDeep LearningMachine Learning
Radosław Smyrek
PROFILE
Radosław Smyrek
Radoslaw Smyrek enhanced the vllm-gaudi repository by developing features and fixes that improved deep learning model reliability and adaptability on HPU-backed systems. He implemented a monkey-patch for Llama4Attention to address attention scaling edge cases, enabling smoother inference on Intel hardware using Python and model optimization techniques. Radoslaw also introduced architecture-aware configuration for use_qk_norm, ensuring correct behavior across Scout and Maverick models by sourcing parameters from a centralized config. Additionally, he enabled multi-modal support and improved crash resilience in production pipelines, demonstrating depth in machine learning, tensor shape handling, and cross-repository integration for robust deployment scenarios.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
65
Activity Months3
Your Network
2183 peopleSame Organization
@intel.com2035
Work History
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for vllm-gaudi focus. Implemented architecture-aware configuration for use_qk_norm to differentiate between Scout and Maverick architectures, sourced directly from the global config rather than a local variable. This fixes incorrect behavior across architectures and improves model adaptability to different environments. Commit 3da5ef7d304aefb44fe71c298187824dcc77699c.
1 Commits
Feb 1, 2026February 2026 monthly summary for vllm-gaudi focus. Implemented architecture-aware configuration for use_qk_norm to differentiate between Scout and Maverick architectures, sourced directly from the global config rather than a local variable. This fixes incorrect behavior across architectures and improves model adaptability to different environments. Commit 3da5ef7d304aefb44fe71c298187824dcc77699c.
February 2026
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly work summary focusing on stability improvements and multi-modal capabilities in the VLLM Gaudi projects. Delivered a robust crash-avoidance fix for HPUAttentionMetadataProcessor and enabled Llama4 Maverick multi-modal support across two repositories through targeted tensor shape handling and attention scaling adjustments. These efforts improve reliability for production workloads and broaden the applicability of Maverick-enabled inference pipelines.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly work summary focusing on stability improvements and multi-modal capabilities in the VLLM Gaudi projects. Delivered a robust crash-avoidance fix for HPUAttentionMetadataProcessor and enabled Llama4 Maverick multi-modal support across two repositories through targeted tensor shape handling and attention scaling adjustments. These efforts improve reliability for production workloads and broaden the applicability of Maverick-enabled inference pipelines.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Llama4Attention HPU Compatibility Enhancement in vllm-gaudi, improving reliability and performance on HPU-backed models by monkey-patching _get_attn_scale. Linked to GAUDISW-243560 with commit f9dc033e68a1210727e4cdc4876ab827cae877d9. This work strengthens deploying Llama4Attention in GAUDI environments and reduces attention-scaling edge-case failures, enabling smoother inference on Intel hardware.
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Llama4Attention HPU Compatibility Enhancement in vllm-gaudi, improving reliability and performance on HPU-backed models by monkey-patching _get_attn_scale. Linked to GAUDISW-243560 with commit f9dc033e68a1210727e4cdc4876ab827cae877d9. This work strengthens deploying Llama4Attention in GAUDI environments and reduces attention-scaling edge-case failures, enabling smoother inference on Intel hardware.
December 2025
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Deep LearningMachine LearningModel OptimizationPythonPython programmingdeep learningmachine learningmodel optimization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
red-hat-data-services/vllm-gaudi
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
Deep LearningMachine LearningModel OptimizationPython