AI21-Jamba-1.5-Large
Maintainer: ai21labs
179
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The AI21-Jamba-1.5-Large is a state-of-the-art, hybrid SSM-Transformer instruction following foundation model developed by AI21. It is part of the Jamba model family, which includes the smaller Jamba 1.5 Mini (12B/52B) and the larger Jamba 1.5 Large (94B/398B). The Jamba models are the most powerful and efficient long-context models on the market, delivering up to 2.5X faster inference than leading models of comparable sizes. They mark the first time a non-Transformer model has been successfully scaled to the quality and strength of the market's leading models.
Model inputs and outputs
The AI21-Jamba-1.5-Large is a text-to-text model that can handle long-form input and output. It supports a context length of up to 256K tokens, making it well-suited for tasks that require processing and generating lengthy text.
Inputs
- Freeform text input up to 256K tokens
- Optional tools and documents that can be included in the input to guide the model's generation
Outputs
- Freeform text output up to 100K tokens
- JSON-formatted responses for structured output
- Invocations of tools that are defined in the input
Capabilities
The Jamba 1.5 models demonstrate superior long context handling, speed, and quality. They support advanced capabilities such as function calling, structured output (JSON), and grounded generation. The models are also optimized for business use cases.
What can I use it for?
The AI21-Jamba-1.5-Large can be used for a variety of natural language tasks, including but not limited to:
- General text generation and summarization
- Question answering and dialogue systems
- Code generation and programming assistance
- Structured data generation (e.g., JSON, tables)
- Grounded generation based on provided documents
The model is released under the Jamba Open Model License, which allows for full research use and commercial use under the license terms. If you need to license the model for your specific needs, you can talk to the AI21 team.
Things to try
One interesting capability of the Jamba 1.5 models is their ability to handle tool invocations and execute tasks in a structured way. You can include tool definitions in the input, and the model will attempt to call those tools and incorporate the results into its output. This can be useful for building AI assistants that can interact with external services or APIs.
Another key feature is the models' support for grounded generation, where the model can use provided documents or snippets to generate relevant and factual responses. This can be valuable for use cases that require generating content based on a specific knowledge base or set of resources.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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