You can now train a 70B language model at home

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • litgpt

    Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.

  • Lit-GPT is what I have been using to pretrain models at home: https://github.com/Lightning-AI/litgpt

  • lora

    Using Low-rank adaptation to quickly fine-tune diffusion models. (by cloneofsimo)

  • Diffusion unet has an "extended" version nowadays that applies to the resnet part as well as the cross-attention: https://github.com/cloneofsimo/lora

  • 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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  • hivemind

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

  • https://github.com/learning-at-home/hivemind is also relevant

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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