Could a model not be trained by a decentralized network? Like Seti @ home or kinda-sorta like bitcoin. Petals accomplishes this somewhat, but if raw computer power is the only barrier to open-source I'd be happy to try organizing decentalized computing efforts

This page summarizes the projects mentioned and recommended in the original post on /r/LocalLLaMA

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  • hivemind

    Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

  • Decentralized deep learning: https://github.com/learning-at-home/hivemind

  • petals

    🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

  • Decentralized inference: https://github.com/bigscience-workshop/petals

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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