H2O LLM Studio

H2O LLM Studio is an enterprise-grade framework and no-code graphical user interface that allows users to train and fine-tune large and small language models.

H2O LLM Studio provides a framework and no-code graphical interface for the training and fine-tuning of large language models (LLMs) and small language models (SLMs). It is designed for enterprise environments, allowing organizations to develop custom models on their own private data. The platform facilitates the creation of efficient, enterprise-ready models without requiring extensive coding. It supports secure deployments, including air-gapped, on-premises, and cloud virtual private cloud (VPC) configurations. H2O.ai offers this as part of an end-to-end generative AI platform that ensures users retain ownership of their stack.

H2O LLM Studio at a glance

Best for: Software engineer, Researcher
Runs on: on-premises, cloud VPC, self-hosted
Pricing: Free
Released: April 2023
Category: AI coding tool
Website: h2o.ai

Key features

No-code graphical user interface for model training
Fine-tuning capabilities for large language models
Support for small language models
Enterprise-ready model development
Air-gapped deployment support
Private data utilization for custom model training
On-premises and cloud VPC installation options

Use it for

Training custom language models
Fine-tuning SLMs on private data
Building enterprise-ready generative AI models

Alternatives to H2O LLM Studio

AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
llm-d — Deploys production-grade LLM serving on existing hardware clusters.
Mesh LLM — Run large local models across multiple machines through one OpenAI-compatible endpoint.
llmware — Build private, local RAG pipelines with 300+ prepackaged models and integrated document parsing.
LangChain4j — Integrates LLMs and vector stores directly into Java applications.
vLLM — Maximizes throughput with PagedAttention and continuous batching.
MLC LLM — Enables native optimization and deployment of AI models across platforms.
DataFlow — Automates and scales data preparation through reusable, operator-based pipelines.
MLX LM — Runs LLMs and fine-tuning natively on Apple silicon hardware.
WebLLM — Runs high-performance language models directly inside web browsers.
LiteLLM — One OpenAI-format API for 100+ LLM providers
LlamaFactory — Provides a code-free CLI and Web UI for training 100+ different LLMs.

All H2O LLM Studio alternatives