This is the Linux app named H2O LLM Studio whose latest release can be downloaded as v1.0.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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H2O LLM Studio
DESCRIPTION
Welcome to H2O LLM Studio, a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). You can also use H2O LLM Studio with the command line interface (CLI) and specify the configuration file that contains all the experiment parameters. To finetune using H2O LLM Studio with CLI, activate the pipenv environment by running make shell. With H2O LLM Studio, training your large language model is easy and intuitive. First, upload your dataset and then start training your model. Start by creating an experiment. You can then monitor and manage your experiment, compare experiments, or push the model to Hugging Face to share it with the community.
Features
- Easily and effectively fine-tune LLMs without the need for any coding experience
- Use a graphic user interface (GUI) specially designed for large language models
- Finetune any LLM using a large variety of hyperparameters
- Use Reinforcement Learning (RL) to finetune your model (experimental)
- Use advanced evaluation metrics to judge generated answers by the model
- Track and compare your model performance visually. In addition, Neptune integration can be used
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/h2o-llm-studio.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
