license: apache-2.0
datasets:
- fblgit/tree-of-knowledge
- Open-Orca/SlimOrca-Dedup
- allenai/ultrafeedback_binarized_cleaned
library_name: transformers
tags:
- juanako
- UNA
- cybertron
- fbl
Model Card for una-cybertron-7b-v2-bf16 (UNA: Uniform Neural Alignment)
We strike back, introducing Cybertron 7B v2 a 7B MistralAI based model, best on it's series. Trained on SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets. He scores EXACTLY #1 with 69.67+ score on HF LeaderBoard board, #8 ALL SIZES top score.
c* v1 Scoring #1 at 2 December 2023 with 69.49
- v2 Scoring #1 at 5 December 2023 with 69.43
Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) |
---|---|---|---|---|---|---|---|
mistralai/Mistral-7B-v0.1 | 60.97 | 59.98 | 83.31 | 64.16 | 42.15 | 78.37 | 37.83 |
Intel/neural-chat-7b-v3-2 | 68.29 | 67.49 | 83.92 | 63.55 | 59.68 | 79.95 | 55.12 |
perlthoughts/Chupacabra-7B-v2 | 63.54 | 66.47 | 85.17 | 64.49 | 57.6 | 79.16 | 28.35 |
fblgit/una-cybertron-7b-v1-fp16 | 69.49 | 68.43 | 85.85 | 63.34 | 63.28 | 80.90 | 55.12 |
fblgit/una-cybertron-7b-v2-bf16 | 69.67 | 68.26 | 85.?4 | 63.23 | 64.63 | 81.37 | 55.04 |
The model excels in mathematics, logic, reasoning, overall very smart.
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
- When will be released the code and paper? When have time, contribute and it'll be faster.
Model Description
- Developed by: juanako.ai
- Author: Xavier M.
- Model type: MistralAI 7B
- Funded by Cybertron's H100's
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:
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.. 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-v2-bf16}},
}
Special thanks to @TheBloke & @bartowski for converting the models and their support to the community. Thank you!