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una-cybertron-7b-v3-OMA/README.md
ModelHub XC 5e6d55e36d 初始化项目,由ModelHub XC社区提供模型
Model: fblgit/una-cybertron-7b-v3-OMA
Source: Original Platform
2026-05-11 01:39:24 +08:00

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---
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|>]
Explain QKV
答:
```
```
[Round <|round|>]
QuestionExplain QKV
Answer
```
```
QuestionExplain 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}},
}
```