DOLMA

DOLMA (Data Optimization and Learning for Model Alignment) is a framework designed to manage large-scale datasets for training and fine-tuning language models efficiently.

Features

Supports dataset cleaning and filtering for better model training
Implements deduplication and compression techniques
Optimized for large-scale NLP dataset processing
Provides tools for ethical and responsible dataset curation
Works with popular transformer-based LLM architectures
Open-source and adaptable for different AI research needs

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-24

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