---
language: en
tags:
- data-analytics
- dashboard
- AI
- visualization
license: mit
---

# AutoDashAnalyticsV1 LoRA Adapters

AutoDashAnalyticsV1GGUF is a powerful tool designed to automate the creation of dashboards from various databases using advanced AI techniques. This model connects to SQL databases and provides interactive data visualizations through user prompts.

## Model Details

- **Model Name:** AutoDashAnalyticsV1
- **Version:** 1.0
- **Language:** English
- **License:** MIT
- **Tags:** data-analytics, dashboard, AI, visualization

## Model Description

AutoDashAnalyticsV1GGUF is developed to simplify and enhance the data analysis process for companies. It leverages a fine-tuned large language model trained on extensive datasets specifically for data analysis. The tool enables users to create detailed and interactive dashboards with minimal effort.

## Features

- **Automated Dashboard Creation:** Automatically generates dashboards from SQL databases.
- **Interactive Visualizations:** Allows users to interact with the data through prompts.
- **Advanced AI Capabilities:** Utilizes a fine-tuned LLM for comprehensive data analysis.
- **Customization:** Provides options for customizing the visualizations and data representation.

## Training Data

The model is trained on a diverse dataset comprising various SQL databases and data visualization examples. This ensures robust performance across different data types and structures.

## Performance

AutoDashAnalyticsV1GGUF has been tested extensively to ensure high accuracy and reliability in generating dashboards. The model can handle large datasets and provide insightful visualizations efficiently.

## Limitations

- The model is currently optimized for Relational databases.
- Future versions will include support for other database types.

## License

This project is licensed under the MIT License.

## Acknowledgements

We acknowledge the contributions of the open-source community and the developers who have supported this project.

## Citation

If you use this model in your research, please cite it as follows:
@misc{AutoDashAnalyticsV1GGUF,
title = {AutoDashAnalyticsV1GGUF},
year = {2024},
publisher = {Hugging Face},
journal = {Hugging Face repository},
howpublished = {\url{https://huggingface.co/techcodebhavesh/AutoDashAnalyticsV1GGUF}}
}