#64 · Primary category： LLM Application Frameworks
h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Project last updated：08/18/26
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5.2K
Forks
556
Contributors
39
License
Apache-2.0
Why we included this project
Most teams that want to fine-tune an open model assume they need to hand-write training loops and tune hyperparameters from a terminal. H2O LLM Studio flips that assumption: you upload a dataset, pick parameter-efficient techniques like LoRA, launch training from a graphical interface, and watch the metrics update as the run goes. A CLI is there for people who prefer scripting, and the built-in chat view lets you test the tuned model right after training finishes. That combination makes it a workable on-ramp for domain experts and small engineering teams who need a repeatable route from raw instruction data to a deployed model without standing up training infrastructure themselves.
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