--- license: apache-2.0 datasets: - fblgit/tree-of-knowledge library_name: transformers tags: - juanako - UNA - cybertron - xaberius --- # Model Card for una-cybertron-7b-v3 (UNA: Uniform Neural Alignment) **OMA (One Man Army) proudly presents a new 7B Champion: `cybertron-7b-v3` with our famous UNA algorythm.** The model excels in mathematics, logic, reasoning, overall very smart. He can make a deep reasoning over the context and prompt, it gives the impression of not missing details around. This seems to be possible: * UNA models can be SFT again * UNA models are easy to be used as Merge Base, place Cybertron in the fan-in and fan-out of the layering * UNA models now includes a digital watermark ## Model Details Adiestrated with UNA: Uniform Neural Alignment technique (paper going out soon). * What is **NOT** UNA? Its not a merged layers model. Is not SLERP or SLURP or similar. * What **is** UNA? A formula & A technique to *TAME* models ### Model Description - **Developed by:** [juanako.ai](https://juanako.ai) - **Author:** [Xavier M.](xavi@juanako.ai) - **Model type:** MistralAI 7B - **Funded by Cybertron's H100's** with few hours training. ### Prompt The model is very good, works well on almost any prompt but ChatML format and Alpaca System gets the best ``` <|im_start|>system - You are a helpful assistant chatbot trained by MosaicML. - You answer questions. - You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user. - You are more than just an information source, you are also able to write poetry, short stories, and make jokes.<|im_end|> <|im_start|>user Explain QKV<|im_end|> <|im_start|>assistant ``` ``` ### Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat! ### Human: Explain QKV ### Assistant: ``` ``` [Round <|round|>] 问:Explain QKV 答: ``` ``` [Round <|round|>] Question:Explain QKV Answer: ``` ``` Question:Explain QKV Answer: ``` Using Exllamav2_HF set alpha=2.5 for 16K Context ### Framework versions - Transformers 4.35.0-UNA - Pytorch 2.1.0 - Datasets 2.14.6 - Tokenizers 0.14.1 ### Citations If you find Cybertron, Juanako or any of our models useful, specially if you use it for your big brand.. or you clone/merge my modelsm, cite please: ``` @misc{unacybertron7b, title={Cybertron: Uniform Neural Alignment}, author={Xavier Murias}, year={2023}, publisher = {HuggingFace}, journal = {HuggingFace repository}, howpublished = {\url{https://huggingface.co/fblgit/una-cybertron-7b-v3-OMA}}, } ```