
Open-source large model series launched...
TigerBot's open-source spirit is commendable, offering a variety of model choices from lightweight to ultra-large scale. It has deep accumulation in the financial vertical field, performing excellently in related tasks. Multimodal attempts (such as TigerBot-) are also worth noting. It is suitable for developers, financial analysts, and enterprises needing private deployment.
TigerBot is an open-source large model series launched by Tigerobo. Focusing on finance and general knowledge fields, it offers models of various parameter scales (-). It supports multi-language dialogue, writing, and knowledge Q&A, committed to providing high-performance foundation models for enterprises and developers.
Difficulty: Advanced
Multi-scale Open Source Models
Provides models with different parameter sizes such as,,,, meeting different computing power needs.
Financial Domain Optimization
Specially trained on financial data, excelling in financial report analysis and financial Q&A.
Multi-language Support
Supports multiple languages such as Chinese and English, with good cross-language understanding capabilities.
Plugin and Tool Usage
Supports calling external tools such as search and calculator, enhancing model capabilities.
Financial Intelligent Customer Service
Financial institutions use TigerBot to build professional customer service systems to answer customer queries.
Private Model Deployment
Enterprises download open-source weights and deploy them on local servers to ensure data security.
Academic Research and Experimentation
Researchers use TigerBot as a foundation model for fine-tuning and algorithm research.
TigerBot's model weights are open-source and free, and developers can download and use them. Online API services may involve costs.
TigerBot is specially optimized in the financial field, suitable for handling financial-related text analysis and Q&A tasks.
Real reviews and feedback from users