OpenMOSS/CoLLiE

Collaborative Training of Large Language Models in an Efficient Way

45
/ 100
Emerging

CoLLiE helps machine learning engineers and researchers efficiently train large language models from scratch or fine-tune existing ones. You provide your data and a base model (like MOSS or LLaMA), and it outputs a highly optimized, trained large language model. It's designed for professionals working with state-of-the-art language AI.

419 stars. No commits in the last 6 months.

Use this if you need to build or adapt large language models for specific tasks but want to minimize training time, memory usage, and computational costs.

Not ideal if you're a casual user looking for a no-code solution or don't have experience with deep learning frameworks like PyTorch and distributed training setups.

large-language-models model-training deep-learning AI-research natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

Stars

419

Forks

58

Language

Python

License

Apache-2.0

Last pushed

Aug 28, 2024

Commits (30d)

0

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