TinyDolphin-2.8-1.1b
Maintainer: cognitivecomputations
52
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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 TinyDolphin-2.8-1.1b is an experimental AI model trained by Kearm on the new Dolphin 2.8 dataset by Eric Hartford. This model is part of the Dolphin series of AI assistants developed by Cognitive Computations. Similar Dolphin models include Dolphin-2.8-Mistral-7b-v02, Dolphin-2.2-Yi-34b, and MegaDolphin-120b.
Model inputs and outputs
The TinyDolphin-2.8-1.1b model is designed to take text prompts as input and generate text responses. It can handle a wide range of tasks, from creative writing to answering questions.
Inputs
- Text prompts: The model accepts free-form text prompts provided by the user.
Outputs
- Text responses: The model generates relevant and coherent text responses based on the input prompts.
Capabilities
The TinyDolphin-2.8-1.1b model is capable of a variety of tasks, such as generating creative stories, answering questions, and providing instructions. It can engage in open-ended conversations and demonstrate good understanding of context and nuance.
What can I use it for?
The TinyDolphin-2.8-1.1b model could be used for a range of applications, such as:
- Creative writing: Generate unique and imaginative stories, poems, or other creative content.
- Conversational AI: Develop chatbots or virtual assistants that can engage in natural language conversations.
- Question answering: Create AI-powered question answering systems to help users find information.
- Task assistance: Provide step-by-step instructions or guidance for completing various tasks.
Things to try
One interesting thing to try with the TinyDolphin-2.8-1.1b model is to experiment with different types of prompts and see how it responds. For example, you could try giving it open-ended prompts, such as "Write a story about a talking dolphin," or more specific prompts, like "Explain the process of training dolphins for military purposes." Observe how the model handles these varying types of inputs and the quality of the responses it generates.
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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