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Fine-tuningFreeOpen Source
H2O LLM STUDIO
No-code GUI and framework for fine-tuning state-of-the-art large language models
Apache-2.0
ABOUT
Fine-tuning LLMs typically requires deep expertise in machine learning, distributed systems, and manual scripting. H2O LLM Studio democratizes this process by providing a visual, no-code interface alongside a powerful CLI, making custom model training accessible to data scientists and domain experts while still offering advanced controls for ML engineers.
INSTALL
make setupINTEGRATION GUIDE
1. Fine-tune custom instruction-following chatbots and GPTs for mobile or offline use
2. Distill large LLMs into small, task-specific SLMs to reduce cost and latency
3. Train causal classification and regression models using LLMs for conversational AI
4. Apply DPO, IPO, or KTO preference optimization to align models with human feedback
5. Export and share fine-tuned checkpoints directly to the Hugging Face Hub
TAGS
fine-tuningllmno-codeguiloradeepspeeddpoktohuggingfaceslmopen-source