NVIDIA/Megatron-LM
Dec 2024 – Jan 2025
2 Months active
Languages Used
C++Python
Technical Skills
Distributed SystemsFP8 QuantizationModel ConversionModel ExportTensorRT-LLMUnit Testing
Piotr Kaminski
PROFILE
Piotr Kaminski
Piotr Kaminski contributed to NVIDIA/Megatron-LM by developing FP8 quantization and export support for TensorRT-LLM, enabling efficient model conversion and deployment in distributed systems. He extended TRTLLMHelper to handle FP8 and KV cache quantization, updated weight converters for FP8 processing, and implemented comprehensive unit tests in both distributed and single-device scenarios using C++ and Python. In addition, Piotr addressed a critical bug affecting key mappings during Mixtral mixture-of-experts model export, ensuring correct handling of expert layers and the MLP decoder router. His work improved the reliability and stability of the export pipeline, reducing deployment risk for inference workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
746
Activity Months2
Your Network
1543 people
Work History
January 2025
1 Commits
Jan 1, 2025Concise monthly summary for 2025-01 focusing on delivering export reliability for Mixtral MoE models in NVIDIA/Megatron-LM. The primary work this month was a critical bug fix to restore correct key mappings during TRT-LLM export, enabling successful export of mixture-of-experts models to the TensorRT-LLM format and reducing deployment risk. No new features were introduced this month beyond stabilizing the export workflow.
1 Commits
Jan 1, 2025Concise monthly summary for 2025-01 focusing on delivering export reliability for Mixtral MoE models in NVIDIA/Megatron-LM. The primary work this month was a critical bug fix to restore correct key mappings during TRT-LLM export, enabling successful export of mixture-of-experts models to the TensorRT-LLM format and reducing deployment risk. No new features were introduced this month beyond stabilizing the export workflow.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 20242024-12 monthly summary for NVIDIA/Megatron-LM focusing on FP8 export support for TensorRT-LLM. No major bugs fixed this month; emphasis on delivering a high-impact feature and validating it across deployments.
December 2024
1 Commits • 1 Features
Dec 1, 20242024-12 monthly summary for NVIDIA/Megatron-LM focusing on FP8 export support for TensorRT-LLM. No major bugs fixed this month; emphasis on delivering a high-impact feature and validating it across deployments.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Distributed SystemsFP8 QuantizationKey MappingMixtralModel ConversionModel ExportTensorRT-LLMUnit Testing
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