[P] New Open Source Framework and No-Code GUI for Fine-Tuning LLMs: H2O LLM Studio

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

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  • h2o-llmstudio

    H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

  • neptune-client

    ๐Ÿ“˜ The MLOps stack component for experiment tracking

  • track and compare your model performance visually. In addition, Neptune integration can be used.

  • 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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  • lora

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

  • use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint.

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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