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.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Dataset used to train InnerI/CAI-synthetic