ScoopInstaller/Versions
Mar 2026 – May 2026
3 Months active
Languages Used
JSON
Technical Skills
C/C++CUDASoftware Packagingconfiguration managementsoftware packagingversion control
Сергеев Роман
PROFILE
Сергеев Роман
Over a three-month period, contributed to the ScoopInstaller/Versions repository by developing and packaging CUDA-accelerated LLaMA model inference binaries in pure C/C++. Delivered features such as auto-update mechanisms and versioned releases, enabling streamlined deployment and reduced maintenance for downstream users. Implemented JSON-based configuration management for CUDA DLLs, supporting multiple CUDA versions and facilitating automated updates through structured metadata. Enhanced AI inference performance by distributing optimized llama.cpp binaries with CUDA DLLs, resulting in improved throughput and lower latency for end users. Demonstrated expertise in C/C++, CUDA integration, software packaging, and version control, with a focus on reproducible, maintainable binary distribution workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
158
Activity Months3
Your Network
106 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ScoopInstaller/Versions focusing on delivering CUDA-enabled llama.cpp binaries and related performance enhancements. The work delivered a significant performance uplift by adding version b9404 of llama.cpp with CUDA DLLs and inference binaries, enabling faster AI inference in distribution builds. This release is tracked under commit 36dd788cae88c8ef293fa727c3c4b96e25100824 ("llama.cpp-cu133(-dll): Add version b9404 (#2891)"). No major bug fixes were recorded for this scope during the month. Overall, the improvements deliver higher throughput, lower latency, and a better end-user experience for AI workloads, while strengthening the repo's capability to distribute optimized binaries. Key technologies demonstrated include CUDA, llama.cpp, binary distribution, and versioned releases.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ScoopInstaller/Versions focusing on delivering CUDA-enabled llama.cpp binaries and related performance enhancements. The work delivered a significant performance uplift by adding version b9404 of llama.cpp with CUDA DLLs and inference binaries, enabling faster AI inference in distribution builds. This release is tracked under commit 36dd788cae88c8ef293fa727c3c4b96e25100824 ("llama.cpp-cu133(-dll): Add version b9404 (#2891)"). No major bug fixes were recorded for this scope during the month. Overall, the improvements deliver higher throughput, lower latency, and a better end-user experience for AI workloads, while strengthening the repo's capability to distribute optimized binaries. Key technologies demonstrated include CUDA, llama.cpp, binary distribution, and versioned releases.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026Concise monthly summary for 2026-04 focusing on business value and technical achievements for ScoopInstaller/Versions.
April 2026
1 Commits • 1 Features
Apr 1, 2026Concise monthly summary for 2026-04 focusing on business value and technical achievements for ScoopInstaller/Versions.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for ScoopInstaller/Versions: Key feature delivered: LLaMA Model Inference for CUDA 13.1 with binaries and auto-update implemented in pure C/C++. This work is tracked under commit 5d06122adbd3463e74492f7e4e1599bf705cdbe5, associated with llama.cpp-cu131: Add version b8373 (#2761). No major bugs fixed reported this month. Impact: expands CUDA-13.1 support, provides ready-to-use binaries, and an auto-update mechanism that reduces maintenance overhead and accelerates downstream deployments. Technologies/skills demonstrated: native C/C++ development, CUDA integration, binary distribution, auto-update tooling, versioned releases, and strong change traceability.
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for ScoopInstaller/Versions: Key feature delivered: LLaMA Model Inference for CUDA 13.1 with binaries and auto-update implemented in pure C/C++. This work is tracked under commit 5d06122adbd3463e74492f7e4e1599bf705cdbe5, associated with llama.cpp-cu131: Add version b8373 (#2761). No major bugs fixed reported this month. Impact: expands CUDA-13.1 support, provides ready-to-use binaries, and an auto-update mechanism that reduces maintenance overhead and accelerates downstream deployments. Technologies/skills demonstrated: native C/C++ development, CUDA integration, binary distribution, auto-update tooling, versioned releases, and strong change traceability.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSON
Technical Skills
C/C++CUDASoftware Packagingconfiguration managementsoftware packagingversion control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline