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README.md
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# **ConvAI-9b: A Conversational AI Model**
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**1. Model Details**
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* **Model Name:** ConvAI-9b
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* **Authors:** CreitinGameplays
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* **Date:** April 18th, 2024
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**2. Model Description**
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ConvAI-9b is a fine-tuned conversational AI model with 9 billion parameters. It is based on the following models:
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* **Base Model:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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* **Merged Model:** [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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**3. Training Data**
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The model was fine-tuned on a custom dataset of conversations between an AI assistant and a user. The dataset format followed a specific structure:
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```
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**4. Intended Uses**
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ConvAI-9b is intended for use in conversational AI applications, such as:
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* Interactive storytelling
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* Educational tools
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**5. Limitations**
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* ConvAI-9b is still under development and may generate incorrect or misleading responses.
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* It may exhibit biases present in the training data.
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* The model's performance can be affected by the quality and format of the input text.
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**6. Evaluation**
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~ Soon
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---
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# **ConvAI-9b: A Conversational AI Model**
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## **1. Model Details**
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* **Model Name:** ConvAI-9b
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* **Authors:** CreitinGameplays
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* **Date:** April 18th, 2024
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## **2. Model Description**
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ConvAI-9b is a fine-tuned conversational AI model with 9 billion parameters. It is based on the following models:
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* **Base Model:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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* **Merged Model:** [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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## **3. Training Data**
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The model was fine-tuned on a custom dataset of conversations between an AI assistant and a user. The dataset format followed a specific structure:
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```
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## **4. Intended Uses**
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ConvAI-9b is intended for use in conversational AI applications, such as:
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* Interactive storytelling
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* Educational tools
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## **5. Limitations**
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* ConvAI-9b is still under development and may generate incorrect or misleading responses.
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* It may exhibit biases present in the training data.
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* The model's performance can be affected by the quality and format of the input text.
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## **6. Evaluation**
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~ Soon
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