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# Influra Chatbot Model

The **Influra Chatbot** is a fine-tuned version of the **TinyLLaMA 1.1B** model, created to deliver accurate, context-specific responses for the Influra app. This model has been trained using a custom dataset, **Ahmedelmorshidy/influraQAs**, designed to cover all aspects of the app, including features, functionalities, and user support.

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## Model Overview

### Purpose
This model powers the Influra chatbot, providing:
- **Instant Support:** Quick and accurate answers to user queries.
- **Guidance:** Helps users navigate the app and leverage its features effectively.
- **Troubleshooting:** Offers solutions to common issues encountered by users.

### Features
- **Fine-tuned for Precision:** Customized for Influra’s domain, ensuring relevant and reliable responses.
- **Contextual Understanding:** Delivers coherent, human-like interactions tailored to the app’s use cases.
- **Lightweight and Efficient:** Built on TinyLLaMA's architecture, combining speed with accuracy.
- **Continuously Improving:** Designed for updates with new data to enhance response quality over time.

### Performance
The model exhibits high accuracy in domain-specific Q&A scenarios, validated through rigorous testing to ensure consistency and reliability.

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## Dataset: Ahmedelmorshidy/influraQAs
- A carefully curated dataset covering FAQs, feature explanations, troubleshooting, and user support queries.
- Tailored specifically to Influra’s needs, ensuring comprehensive coverage of potential user interactions.

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## Use Cases
This model is ideal for:
- Enhancing user experience with responsive customer support.
- Automating answers to repetitive queries.
- Providing a scalable, intelligent solution for app-based assistance.

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### Disclaimer
This model has been fine-tuned specifically for the Influra app and is not intended for general-purpose language generation. For optimal performance, use it within the scope of Influra-related tasks.

**Influra – Empowering users with AI-driven support.**

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  - ads
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  - chatbot
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  - QAchatbots
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  - ads
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  - chatbot
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  - QAchatbots
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+ ---
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+ # Model Card for Model ID
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+
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+ The Influra Chatbot is a fine-tuned version of the TinyLLaMA 1.1B model, created to deliver accurate, context-specific responses for the Influra app. This model has been trained using a custom dataset, Ahmedelmorshidy/influraQAs,
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+ designed to cover all aspects of the app, including features, functionalities, and user support.
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+ This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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+
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+ ## Model Details
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+
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+ ### Model Description
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+ Model Overview
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+ Purpose
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+ This model powers the Influra chatbot, providing:
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+ Instant Support: Quick and accurate answers to user queries.
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+ Guidance: Helps users navigate the app and leverage its features effectively.
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+ Troubleshooting: Offers solutions to common issues encountered by users.
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+ Features
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+ Fine-tuned for Precision: Customized for Influra’s domain, ensuring relevant and reliable responses.
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+ Contextual Understanding: Delivers coherent, human-like interactions tailored to the app’s use cases.
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+ Lightweight and Efficient: Built on TinyLLaMA's architecture, combining speed with accuracy.
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+ Continuously Improving: Designed for updates with new data to enhance response quality over time.
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+ Performance
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+ The model exhibits high accuracy in domain-specific Q&A scenarios, validated through rigorous testing to ensure consistency and reliability.
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+
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+ - **Developed by:** influra team
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+ - **Model type:** QA chatbot
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+ - **Language(s) (NLP):** english
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** tinyllama 1.1b v1.0
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+ ### Model Sources [optional]
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+
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+
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+ ## Uses
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+ for answering any question in app or about us
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+ ## Training Details
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+ ### Training Data
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+ Ahmedelmorshidy/influraQAs
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype="float16"
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+ ### Testing Data
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+ #### Testing Data
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+ Ahmedelmorshidy/influraQAs
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+ [More Information Needed]
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+ #### Summary
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+ This model has been fine-tuned specifically for the Influra app and is not intended for general-purpose language generation. For optimal performance, use it within the scope of Influra-related tasks.
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+ Influra – Empowering users with AI-driven support.
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