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Anton Lozhkov

PROFILE

Anton Lozhkov

Developed foundational infrastructure and advanced language modeling features across two repositories. In huggingface/smollm, established initial project scaffolding by setting up version control, licensing, and documentation to streamline onboarding and future CI/CD integration. Later, in liguodongiot/transformers, delivered SmolLM3, a compact Transformer-based language model tailored for long-context natural language processing tasks. This model incorporated Grouped Query Attention and multi-stage training on diverse datasets, enhancing efficiency and robustness for extended-context workloads. Work demonstrated disciplined use of Python, deep learning frameworks, and version control, providing a solid foundation for scalable development, reproducible research, and ongoing experimentation in machine learning projects.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
2,243
Activity Months2

Work History

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 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.

November 2024

1 Commits • 1 Features

Nov 1, 2024

2024-11 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

2 repos

Overview of all repositories you've contributed to across your timeline

huggingface/smollm

Nov 2024 Nov 2024
1 Month active

Languages Used

None

Technical Skills

Version Control

liguodongiot/transformers

Jun 2025 Jun 2025
1 Month active

Languages Used

Python

Technical Skills

Deep LearningMachine LearningNatural Language ProcessingTransformers