Model Card for una-xaberius-34b-v1-beta (UNA: Uniform Neural Alignment)
Introducing THE MODEL: XABERIUS 34B v1-BETA an experimental 34B LLaMa-Yi-34B based model, best on it's series. Trained on SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets.
Timeline:
- 05-Dec-2023 v1-beta released
| Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) |
|---|---|---|---|---|---|---|---|
| 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 |
| .. xaberius results will come out soon. |
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.
- Investors CONTACT HERE
- Model type: LLaMa YI-34B
- 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：
Framework versions
- Transformers 4.35.2-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{unaxaberius34b,
title={Xaberius 34B: Uniform Neural Alignment},
author={Xavier Murias},
year={2023},
publisher = {HuggingFace},
journal = {HuggingFace repository},
howpublished = {\url{https://huggingface.co/fblgit/una-xaberius-34b-v1beta}},
}
Special thanks to @TheBloke & @bartowski for converting the models and their support to the community. Thank you!
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