VinkuraAI/Docxo

Vinkura's DOCXO is an efficient training framework for large language models, designed to minimize communication overhead on Google Cloud Platform (GCP) with GPUs.

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Experimental

This project helps machine learning engineers efficiently train large language models like `facebook/opt-125m` on Google Cloud Platform with GPUs. It takes your training data and model configuration, then outputs a trained language model faster than standard methods. It's designed for ML engineers working with distributed training environments.

No commits in the last 6 months.

Use this if you are a machine learning engineer training large language models on Google Cloud with multiple GPUs and need to minimize training time caused by network communication.

Not ideal if you are training smaller models, using a single GPU, or not working on Google Cloud Platform.

large-language-models distributed-training cloud-ml-engineering model-optimization pytorch
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

7

Forks

Language

Python

License

MIT

Last pushed

Jul 19, 2025

Commits (30d)

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