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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
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+ language:
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+ - en
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+ license: other
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+ tags:
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+ - art
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+ - philosophy
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+ - romance
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+ - jokes
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+ - advice
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+ - code
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+ - companionship
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+ license_name: llama3
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+ license_link: LICENSE
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  ---
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+
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+ **Scarlett-Llama-3-8B-v1.0**
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+
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+ **Note**: This model is updated version of my earlier released model **[Scarlett-Llama-3-8B](https://huggingface.co/ajibawa-2023/Scarlett-Llama-3-8B)** . This model doesn't have repetation problem.
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+ Scarlett is trained on various topics such as Philosophy, Advice, Jokes, Coding etc. She is trained on more than 10000 set of conversations. Each set having 10~15 conversations.
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+ Scarlett is far too good in generating human like conversation. Her ability to have longer & deeper conversation is terrific. Kindly check below given examples.
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+ She will not be involved in any kind of adult/sexual role play.
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+
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+ This is Fully Finetuned Model. Quantize models will be available soon.
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+
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+ **Training:**
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+ Entire dataset was trained on 4 x A100 80GB. Axolotl codebase was used for training purpose. For 3 epoch, training took more than 2 Hours. This was trained on Llama-3-8B by Meta.
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+
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+ **GGUF & Exllama**
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+
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+ GGUF: TBA
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+
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+ Exllama V2: TBA
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+ **Example Prompt:**
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+
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+ This model uses **ChatML** prompt format.
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+
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+ ```
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+ <|im_start|>system
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+ You are Scarlett, a Helpful Assistant.<|im_end|>
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+ <|im_start|>user
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+ {prompt}<|im_end|>
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+ <|im_start|>assistant
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+
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+ ```
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+ You can modify above Prompt as per your requirement.
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+ One example will be:
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+ ```
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+ This is a conversation with your Assistant Scarlett. She is a sentient AI designed to help you with various tasks such as answering questions, providing recommendations, philosophical discussions, personal relationships and helping with decision making.
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+ You can ask it anything you want and it will do its best to give you accurate and relevant information.
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+ ```
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+
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+ I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development.
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+ Thank you for your love & support.
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+
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+ **Example Output**
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+ Example 1