IBM Granite
| General | |
|---|---|
| Relese date | 2024 |
| Author | IBM |
| Website | Granite AI Models |
| Repository | https://github.com/ibm-granite |
| Type | AI Models |
The Granite AI Models family, developed by IBM, encompasses a range of state-of-the-art language models tailored for various applications. These models provide robust solutions for creating interactive chatbots, executing precise instructions and supporting multiple languages. Each model in the Granite AI Models family is designed to deliver high performance and accuracy, making them ideal for innovative and complex language processing tasks.
Granite AI Models are available on Hugging Face under the Apache 2.0 license.
Granite AI Models
Granite 13b Chat: This model is designed for creating interactive chatbot applications that can understand and generate human-like responses, enhancing user engagement and support capabilities.
Granite 13b Instruct: Optimized for following detailed instructions, this model excels at tasks requiring precise adherence to user commands, making it ideal for complex workflow automation and support tasks.
Granite Multilingual: A powerful model supporting multiple languages, Granite Multilingual is suitable for applications requiring understanding and generation of text in various languages, broadening accessibility and reach.
Granite Japanese: Specialized in Japanese language processing, this model is tailored for applications needing high proficiency in understanding and generating Japanese text, from chatbots to content creation tools.
Start building with Granite AI Models
Granite AI Models, developed by IBM, offer robust solutions for various language processing tasks. These models include the Granite 13b Chat for creating interactive chatbot applications, the Granite 13b Instruct for following detailed instructions, the Granite Multilingual for supporting multiple languages, and the Granite Japanese for applications needing Japanese language proficiency. Start building innovative solutions with these models and explore the community-built use cases and applications for inspiration.
Useful Links
- Prompting the granite-13b-chat-v2 foundation model from IBM
- Running the Granite Notebooks
- Document Summarization with Granite
- Retrieval Augmented Generation (RAG) with Langchain
- Energy Demand Forecasting with Granite Timeseries (TTM)