huggingface/smollm
Nov 2024 – Nov 2024
1 Month active
Languages Used
None
Technical Skills
Version Control
Anton Lozhkov
PROFILE
Anton Lozhkov
Andrey Glozhkov developed foundational infrastructure and advanced language modeling features across two open-source repositories. For huggingface/smollm, he established the initial project scaffolding, including licensing and documentation, to streamline onboarding and future CI/CD integration using Git and version control best practices. In liguodongiot/transformers, he delivered SmolLM3, a compact Transformer-based language model optimized for long-context natural language processing tasks. This model incorporated Grouped Query Attention and multi-stage training on diverse datasets, leveraging Python and deep learning frameworks to improve efficiency and robustness. Andrey’s work demonstrated depth in both project architecture and applied machine learning, enabling scalable development and experimentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
2,243
Activity Months2
Your Network
450 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 — Delivered SmolLM3 in liguodongiot/transformers, a compact Transformer-based language model optimized for long-context tasks, featuring Grouped Query Attention and multi-stage training on diverse datasets. No major bugs fixed this month. Impact: enables long-context NLP workloads with improved efficiency and a solid foundation for deployment and ongoing experimentation. Technologies demonstrated: Transformer architectures, long-context modeling, Grouped Query Attention, multi-stage training, cross-dataset experimentation, and disciplined Git workflows.
1 Commits • 1 Features
Jun 1, 2025June 2025 — Delivered SmolLM3 in liguodongiot/transformers, a compact Transformer-based language model optimized for long-context tasks, featuring Grouped Query Attention and multi-stage training on diverse datasets. No major bugs fixed this month. Impact: enables long-context NLP workloads with improved efficiency and a solid foundation for deployment and ongoing experimentation. Technologies demonstrated: Transformer architectures, long-context modeling, Grouped Query Attention, multi-stage training, cross-dataset experimentation, and disciplined Git workflows.
June 2025
November 2024
1 Commits • 1 Features
Nov 1, 20242024-11 Monthly Summary for huggingface/smollm: Delivered foundational project scaffolding and documentation to establish structure, licensing, and onboarding readiness. Key commit: 7d94cb44aa1f13ad608b520219b9e1013435f76c (Initial commit). No major bugs fixed this month. This work lays the groundwork for scalable development, clearer contribution guidelines, and future CI/CD integration. Technologies demonstrated: Git repository initialization, Apache 2.0 licensing, README-based project overview.
November 2024
1 Commits • 1 Features
Nov 1, 20242024-11 Monthly Summary for huggingface/smollm: Delivered foundational project scaffolding and documentation to establish structure, licensing, and onboarding readiness. Key commit: 7d94cb44aa1f13ad608b520219b9e1013435f76c (Initial commit). No major bugs fixed this month. This work lays the groundwork for scalable development, clearer contribution guidelines, and future CI/CD integration. Technologies demonstrated: Git repository initialization, Apache 2.0 licensing, README-based project overview.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
NonePython
Technical Skills
Deep LearningMachine LearningNatural Language ProcessingTransformersVersion Control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
liguodongiot/transformers
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
Deep LearningMachine LearningNatural Language ProcessingTransformers