ArrowPro-7B-KUJIRA
Maintainer: DataPilot
58
✅
| 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
ArrowPro-7B-KUJIRA is a large language model developed by DataPilot. It is a 7B parameter model that builds upon the MistralNTQ AI/chat and AItuber models. The model aims to provide advanced natural language capabilities while maintaining efficiency.
Model inputs and outputs
ArrowPro-7B-KUJIRA is a text-to-text model, taking in user prompts and generating relevant responses. The model was trained on a diverse dataset to enable it to handle a wide range of tasks, from open-ended conversation to task-oriented instructions.
Inputs
- User prompts or queries in natural language
Outputs
- Relevant, coherent responses in natural language
- The model can generate output up to 500 tokens in length
Capabilities
ArrowPro-7B-KUJIRA demonstrates strong natural language understanding and generation capabilities. It can engage in open-ended dialogue, answer questions, and provide detailed responses on a variety of topics. The model also shows competence in more structured tasks like providing summaries, explanations, and task-oriented instructions.
What can I use it for?
ArrowPro-7B-KUJIRA is a versatile model that can be applied to a wide range of natural language processing tasks. Some potential use cases include:
- Virtual assistants and chatbots
- Content generation (articles, stories, scripts, etc.)
- Question answering and information retrieval
- Summarization and text simplification
- Task planning and instruction generation
Things to try
One interesting aspect of ArrowPro-7B-KUJIRA is its ability to handle complex, multi-turn conversations. Try engaging the model in an extended dialogue and see how it responds and adapts to the context. You can also experiment with giving the model more structured prompts or instructions to see how it handles task-oriented requests.
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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