allenai/olmo-cookbook
Jun 2025 – Jul 2025
2 Months active
Languages Used
YAML
Technical Skills
Configuration ManagementData EngineeringDeep LearningMachine LearningMachine Learning OperationsModel Training Configuration
Allyson Ettinger
PROFILE
Allyson Ettinger
Allyson E. enhanced the allenai/olmo-cookbook repository by developing and refining training pipeline configurations for the OLMo2 model family. She introduced a microannealing recipe for mid-training at scale, extended input context length to support longer reasoning tasks, and updated data source integration to improve coverage and reproducibility. Her work involved advanced configuration management and data engineering, primarily using YAML to ensure traceable, maintainable workflows. Additionally, she realigned resource budgets and standardized dataset naming conventions, reducing ambiguity and supporting stable deployments. Across two months, Allyson’s contributions demonstrated depth in MLOps and model training configuration, enabling faster, more reliable iterations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
43
Activity Months2
Your Network
49 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered an essential data-source naming update for the OLMo training pipeline in the allenai/olmo-cookbook project. Updated the YAML configuration to replace the dataset source name from 'dclm' to 'web', ensuring the configuration matches the current data source usage. This change was implemented via a single commit, establishing clearer data provenance and improving the reliability of future training runs.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered an essential data-source naming update for the OLMo training pipeline in the allenai/olmo-cookbook project. Updated the YAML configuration to replace the dataset source name from 'dclm' to 'web', ensuring the configuration matches the current data source usage. This change was implemented via a single commit, establishing clearer data provenance and improving the reliability of future training runs.
July 2025
June 2025
4 Commits • 1 Features
Jun 1, 20252025-06 monthly summary for allenai/olmo-cookbook: Delivered OLMo2 training pipeline enhancements including a microannealing recipe for mid-training at 10B tokens across web/code/reasoning datasets, extended input context with sequence_length 4096, updated training job configuration with a new workspace path and expanded data sources, and a budget realignment reallocating resources from ai2/oe-training to ai2/oe-base. The changes improve training efficiency, enable longer-context reasoning tasks, improve data coverage, and optimize resource planning. Demonstrated MLOps and config-management skills, solid commit-level traceability, and business value through faster iterations and cost transparency.
June 2025
4 Commits • 1 Features
Jun 1, 20252025-06 monthly summary for allenai/olmo-cookbook: Delivered OLMo2 training pipeline enhancements including a microannealing recipe for mid-training at 10B tokens across web/code/reasoning datasets, extended input context with sequence_length 4096, updated training job configuration with a new workspace path and expanded data sources, and a budget realignment reallocating resources from ai2/oe-training to ai2/oe-base. The changes improve training efficiency, enable longer-context reasoning tasks, improve data coverage, and optimize resource planning. Demonstrated MLOps and config-management skills, solid commit-level traceability, and business value through faster iterations and cost transparency.
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Configuration ManagementData EngineeringDeep LearningMachine LearningMachine Learning OperationsModel Training Configuration
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