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CAI-Synthetic Model

Overview

The CAI-Synthetic Model is a large language model designed to understand and respond to complex questions. This model has been fine-tuned on a synthetic dataset from Mostly AI, allowing it to engage in a variety of contexts with reliable responses. It is designed to perform well in diverse scenarios.

Base Model and Fine-Tuning

  • Base Model: Google/Gemma-7b

  • Fine-Tuning Adapter: LoRA Adapter

  • Synthetic Dataset: Mostly AI Synthetic Dataset

Licensing and Usage

The CAI-Synthetic Model is licensed under the terms of its base model, Gemma-7b, and the synthetic dataset's licensing agreements. Ensure compliance with any licensing restrictions when using or distributing this model. Attribution to the source of the fine-tuning adapter and the synthetic dataset is required.

Prompt Configuration

When using this model, you can employ the following prompt structure for interactions:

''''

   ### Instruction Describe a task that requires a response.
   
   ### Instruction: {instruction}
   
   ### Response: {response}

''''

Usage Scenarios

This model is suitable for various applications, including:

Conversational AI:

Building chatbots and virtual assistants that can respond in different contexts.

Customer Support:

Providing automated customer service responses.

Knowledge-based Systems:

Enhancing systems with contextualized responses based on synthetic data.

Contact Information

For more information about the CAI-Synthetic Model, licensing, or other inquiries, contact Inner I Network.

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Dataset used to train InnerI/CAI-synthetic