H2O-Danube2-1.8B
Open source small language model suitable for enterprise level applications
- Fine tuning or post training for specific domain datasets
- Easy to embed on edge devices such as mobile phones and drones
- Cost savings of up to 200 times when querying on the H2O.ai platform
- Reduce document processing costs by up to 100% and improve accuracy
- Support custom parameters and user-friendly interface design
- Suitable for various enterprise level applications, such as legal document review, financial health analysis, etc
- Supports multiple data formats, including charts, flowcharts, web pages, audio, video, and images
Product Details
H2O-Danube2-1.8B is the latest open-source small language model released by H2O.ai, designed specifically for offline and enterprise applications. It has an economically efficient interface and training cost, and is easy to embed into edge devices such as mobile phones and drones. This model ranks first in the<2B range of Hugging Face Open LLM Leaderboard, providing up to 200 times query cost savings and better accuracy in document processing, with a cost reduction of up to 100%. The H2O.ai platform also provides cost control and flexibility, supporting the mixed use of over 30 Large Language Models (LLMs), including proprietary and open-source LLMs.
