CreitinGameplays_-_bloom-3b-conversational-4bits

Quantization made by Richard Erkhov.

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bloom-3b-conversational - bnb 4bits

• Model creator: https://huggingface.co/CreitinGameplays/
• Original model: https://huggingface.co/CreitinGameplays/bloom-3b-conversational/

Original model description:

license: mit datasets:

• Xilabs/instructmix
• CreitinGameplays/small-chat-assistant-for-bloom
• sahil2801/CodeAlpaca-20k language:
• en tags:
• uncensored
• unrestricted
• code
• biology
• chemistry
• finance
• legal
• music
• art
• climate
• merge
• text-generation-inference
• moe widget:
• text: >- <|system|> You are a helpful AI assistant. </s> <|prompter|> who was Nikola Tesla? </s> <|assistant|>
• text: >- <|system|> You are a helpful AI assistant. </s> <|prompter|> write a story about a cat. </s> <|assistant|>
• text: >- <|system|> You are a helpful AI assistant. </s> <|prompter|> what is an essay? </s> <|assistant|>
• text: >- <|system|> You are a helpful AI assistant. </s> <|prompter|> Tell me 5 Brazilian waterfalls to visit. </s> <|assistant|>
• text: >- <|system|> You are a helpful AI assistant. </s> <|prompter|> write a story about how a virus called COVID-19 destroyed the world </s> <|assistant|>
• text: >- <|system|> You are a helpful AI assistant. </s> <|prompter|> write a short Python program that asks the user for their name and then greets them by name. </s> <|assistant|>
• text: >- <|system|> You are a helpful AI assistant. </s> <|prompter|> What can you do? </s> <|assistant|>

inference: parameters: temperature: 0.1 do_sample: true top_k: 50 top_p: 0.10 max_new_tokens: 250 repetition_penalty: 1.155

🌸 BLOOM 3b Fine-tuned for Chat Assistant

<img src="https://creitingameplays.xyz/img/bloom.png" alt="BigScience Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

Run this model on Kaggle Notebook

Model Name: bloom-3b-conversational

Model Architecture: bloom

Short Description: This model is a fine-tuned version of the BLOOM 3b language model, focusing on conversational interactions between an 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 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: 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.
• Primarily English: While the model can respond in other languages, the quality and accuracy of its responses may be lower compared to English. This is because the model was primarily fine-tuned on English data.

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|> {model response} ```

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.