--- 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, 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} <|prompter|> {user prompt} <|assistant|> {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.