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
Project Samples
Categories
Large Language Models (LLM), Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
Apache License V2.0Follow H2O LLM Studio
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