ggerganov/llama.cpp
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++
Technical Skills
C++backend development
Antoine Viallon
PROFILE
Antoine Viallon
Antoine contributed targeted stability and compatibility improvements to the llama.cpp repository, focusing on backend reliability and GPU support. He addressed a critical divide-by-zero issue in server metrics reporting by introducing defensive logic in C++ to ensure robust calculations under edge conditions, thereby reducing the risk of production crashes. Later, he enhanced GPU compatibility for MI210 hardware by correcting the CDNA2 compute capability constant in the ggml-cuda module, leveraging his expertise in CUDA and low-level GPU programming. Antoine’s work demonstrated careful root-cause analysis and precise version control, resulting in deeper production resilience and improved deployment reliability for enterprise environments.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
2
Activity Months2
Your Network
568 peopleWork History
April 2026
1 Commits
Apr 1, 2026April 2026: Stabilized GPU compatibility and readiness for MI210 on llama.cpp ggml-cuda by correcting the CDNA2 compute capability constant to reflect gfx90a ISA (0x90a). The fix reduces kernel misconfiguration risks and improves performance stability on CDNA2 hardware. This month focused on resilience and hardware-ABI correctness, enabling smoother enterprise deployment on AMD GPUs.
1 Commits
Apr 1, 2026April 2026: Stabilized GPU compatibility and readiness for MI210 on llama.cpp ggml-cuda by correcting the CDNA2 compute capability constant to reflect gfx90a ISA (0x90a). The fix reduces kernel misconfiguration risks and improves performance stability on CDNA2 hardware. This month focused on resilience and hardware-ABI correctness, enabling smoother enterprise deployment on AMD GPUs.
April 2026
February 2025
1 Commits
Feb 1, 2025February 2025 performance summary for ggerganov/llama.cpp: Delivered a critical stability fix in metrics reporting by preventing divide-by-zero errors. The change ensures the denominator is at least 1, eliminating instability and crashes in metrics calculations under edge conditions. This update enhances reliability for production deployments and reduces risk of metric-driven downtime.
February 2025
1 Commits
Feb 1, 2025February 2025 performance summary for ggerganov/llama.cpp: Delivered a critical stability fix in metrics reporting by preventing divide-by-zero errors. The change ensures the denominator is at least 1, eliminating instability and crashes in metrics calculations under edge conditions. This update enhances reliability for production deployments and reduces risk of metric-driven downtime.
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++CUDAGPU ProgrammingPerformance Optimizationbackend development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
ggml-org/llama.cpp
Apr 2026 – Apr 2026
1 Month active
Languages Used
C++
Technical Skills
CUDAGPU ProgrammingPerformance Optimization