---
license: mit
datasets:
- CreitinGameplays/merged-data-v2
base_model:
- mistralai/Mistral-7B-v0.3
- mistralai/Mistral-7B-Instruct-v0.3
language:
- en
---
**Exllamav2** quant (**exl2** / **3.5 bpw**) made with ExLlamaV2 v0.1.1
Other EXL2 quants:
| **Quant** | **Model Size** | **lm_head** |
| ----- | ---------- | ------- |
|
**[2.2](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-2_2bpw_exl2)** | 2671 MB | 6 |
|**[2.5](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-2_5bpw_exl2)** | 2958 MB | 6 |
|**[3.0](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-3_0bpw_exl2)** | 3477 MB | 6 |
|**[3.5](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-3_5bpw_exl2)** | 3997 MB | 6 |
|**[3.75](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-3_75bpw_exl2)** | 4256 MB | 6 |
|**[4.0](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-4_0bpw_exl2)** | 4515 MB | 6 |
|**[4.25](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-4_25bpw_exl2)** | 4776 MB | 6 |
|**[5.0](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-5_0bpw_exl2)** | 5556 MB | 6 |
|**[6.0](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-6_0bpw_exl2)** | 6605 MB | 8 |
|**[6.5](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-6_5bpw_exl2)** | 7137 MB | 8 |
|**[8.0](https://huggingface.co/Zoyd/CreitinGameplays_ConvAI-9b-v2-8_0bpw_exl2)** | 7983 MB | 8 |
# **ConvAI-9b v2: A Conversational AI Model**
![img](https://huggingface.co/CreitinGameplays/ConvAI-9b/resolve/main/convai.png)
## **1. Model Details**
* **Model Name:** ConvAI-9b v2
* **Authors:** CreitinGameplays
* **Date:** May 29th, 2024
## **2. Model Description**
ConvAI-9b v2 is a fine-tuned conversational AI model with 9 billion parameters. It is based on the following models:
* **Base Model:** [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3)
* **Merged Model:** [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)
## **3. Training Data**
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:
```
<|system|> (system prompt, e.g.: You are a helpful AI language model called ChatGPT, your goal is helping users with their questions) <|user|> (user prompt)
```
## **4. Intended Uses**
ConvAI-9b is intended for use in conversational AI applications, such as:
* Chatbots
* Virtual assistants
* Interactive storytelling
* Educational tools
## **5. Limitations**
* Like any other language model, ConvAI-9b v2 may generate incorrect or misleading responses.
* It may exhibit biases present in the training data.
* The model's performance can be affected by the quality and format of the input text.
## **6. Evaluation**
~ soon