Update README.md

README.md

@@ -17,9 +17,9 @@ tags:
 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](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__una-cybertron-7b-v2-bf16)  **#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
-
+* v1 Scoring **#1** at 2 December 2023 with 69.43 ..few models were releasse .. but only 1 can survive: CYBERRTON!
+* v2 Scoring **#1** at 5 December 2023 with 69.67
+2
   
 | Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) |
 | --- | --- | --- | --- | --- | --- | --- | --- |
@@ -42,8 +42,9 @@ Adiestrated with UNA: Uniform Neural Alignment technique (paper going out soon).
 
 - **Developed by:** [juanako.ai](https://juanako.ai)
 - **Author:** [Xavier M.](xavi@juanako.ai)
+- **Investors** [CONTACT HERE](billing@juanako.ai)
 - **Model type:** MistralAI 7B
-- **Funded by Cybertron's H100's**
+- **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
@@ -87,7 +88,7 @@ Answer：
 - 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:
+    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},