README.md

---
license: mit
datasets:
- Xilabs/instructmix
- CreitinGameplays/small-chat-assistant-for-bloom
- sahil2801/CodeAlpaca-20k
language:
- en
---
## BLOOM 3b Fine-tuned for Chat Assistant

**Model Name:** bloom-3b-conversational

**Model Architecture:** bloom

**Short Description:** This model is a fine-tuned version of the [BLOOM 3b large language model](https://huggingface.co/bigscience/bloom-3b), focusing on conversational interactions between a user and an AI assistant.

**Intended Use:** This model is intended for research purposes and exploration of conversational AI applications. It can be used for tasks like:

* Generating responses to user prompts in a chat assistant setting.
* Creating examples of chatbot interactions for further development.
* Studying the capabilities of large language models for conversation.

**Limitations:**

* **Fine-tuning Focus:**  The model's performance is optimized for the specific format and context of the fine-tuning data. It may not generalize well to significantly different conversation styles or topics.
* **Potential Biases:** The model may inherit biases from the training data. It's important to be aware of these potential biases and use the model responsibly.
* **Limited Factual Accuracy:**  Large language models are still under development and may generate responses that are not entirely factually accurate. It's important to verify information generated by the model with other sources.

**Specific Input Format:**

The model was fine-tuned using a specific input format that goes like this:

```
<|system|> {system prompt} </s>  <|prompter|> {user prompt} </s>  <|assistant|> </s> {model prediction}  ```

Using this format when interacting with the model can improve its performance and generate more relevant responses.

**Disclaimer:** This model is for research and exploration purposes only. It should not be used in any applications that require high levels of accuracy or reliability.