Open-weight H2O-Danube2-1.8B
Tiny high-performance GenAI LLM
#1 foundation model on Hugging Face LLM Leaderboard for <2B range
This model is ideal for fine-tuning on domain-specific datasets, economically efficient for inference and training, and easily embedded on edge devices like mobile phones and drones. It outperforms leading competitors such as Microsoft Phi-2 and Google Gemma 2, offering significant economic and deployment advantages for enterprise and edge computing applications.
- Cost savings on the H2O.ai Platform. 200x cheaper on query cost.
- Serve more users. Better accuracy with up to 100% cheaper on document processing.