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H2O-Danube2-1.8B

Open source small language model for enterprise-level applications

#Open source
#language model
#Document processing
#Enterprise level
#Cost effective
H2O-Danube2-1.8B

Product Details

H2O-Danube2-1.8B is the latest open source small language model released by H2O.ai. It is designed for offline applications and enterprise-level applications. It has cost-effective interfaces and training costs, and is easy to be embedded into edge devices such as mobile phones and drones. This model ranks first in the <2B range of the Hugging Face Open LLM Leaderboard, providing up to 200x query cost savings while delivering better accuracy on document processing and cost reductions of up to 100%. The H2O.ai platform also provides cost control and flexibility, supporting the mixed use of more than 30 Large Language Models (LLMs), including proprietary and open source LLMs.

Main Features

1
为特定领域数据集进行微调或后训练
2
在移动电话、无人机等边缘设备上易于嵌入
3
在H2O.ai平台上查询成本节省高达200倍
4
文档处理成本降低高达100%,提高准确性
5
支持自定义参数和用户友好的界面设计
6
适用于各种企业级应用,如法律文件审查、财务健康分析等
7
支持多种数据格式,包括图表、流程图、网页、音频、视频和图像

How to Use

1
1. 下载并安装H2O.ai移动应用程序或访问网页版平台。
2
2. 注册并获取API密钥以访问H2O-Danube2-1.8B模型。
3
3. 根据需求选择相应的语言模型,并设置自定义参数。
4
4. 将模型嵌入到边缘设备或企业应用中。
5
5. 利用模型进行文档处理、数据分析等任务。
6
6. 通过H2O Eval Studio评估模型性能和效果。
7
7. 根据评估结果调整模型参数,优化应用性能。

Target Users

H2O-Danube2-1.8B适合需要进行大量文档处理和数据分析的企业用户,尤其是那些寻求成本效益和高效率解决方案的公司。它的开源特性使得企业能够完全控制和拥有自己的模型,同时固定硬件成本,提供了一种经济的选择。

Examples

法律文件审查,查找缺失信息

分析财务报表,评估风险和情绪

生成新的支持响应内容

Quick Access

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Categories

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› AI model
› AI model inference training

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