H2o Llmstudio

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning large language models (LLMs) and small language models (SLMs). It enables data scientists and developers to train, evaluate, and deploy custom models without writing code, using an intuitive visual interface. The platform supports popular open-weight models like H2O Danube3 and H2OVL Mississippi, and allows fine-tuning on private, protected data with full control over security. It is part of the broader H2O.ai ecosystem, integrating with tools like H2O MLOps for deployment and monitoring. Targeted at enterprises and regulated industries, H2O LLM Studio emphasizes data privacy and compliance, enabling air-gapped and on-premise deployments. It simplifies the fine-tuning workflow by providing preconfigured recipes, automatic hyperparameter optimization, and built-in evaluation metrics. Users can import datasets in various formats, select base models, configure training parameters via a GUI, and export the fine-tuned model for inference. What makes H2O LLM Studio different is its focus on no-code accessibility combined with enterprise-grade features like cost controls, multi-model support, and integration with H2O's Agentic AI platform. It bridges the gap between rapid prototyping and production-ready LLM customization, making it suitable for both novice and experienced AI practitioners.