Update README.md

README.md

@@ -16,7 +16,7 @@ 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 more than **64.60**+ on HF LeaderBoard at least, we'll update the final test soon, .. and we have in the oven a few surprises for all the christmas, subscribe.
-T
+
 * v1 Scoring **#1** at 2 December 2023 with 64.60
 * v2 Scoring **?** ..?
 
@@ -26,7 +26,7 @@ T
 | [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) | 60.97 | 59.98  | 83.31  | 64.16  | 42.15 | 78.37 | 37.83 |
 | [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2) | 63.54 | 66.47 | 85.17 | 64.49  | 57.6 | 79.16 | 28.35 |
 | [fblgit/una-cybertron-7b-v1-fp16](https://huggingface.co/fblgit/una-cybertron-7b-v1-fp16) | **64.60** | **68.17** | 85.14 | 62.07  | **63.98** | **80.9** | 27.34 |
-| [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) | **6?.?0** | **68.17** | 85.?4 | 62.07  | **6?.98** | **80.9** | ?0.34 |
+| [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) | **6?.?0** | **68.17** | **85.?4** | 62.07  | **6?.98** | **80.9** | **?0.34** |
 
 The model excels in mathematics, logic, reasoning, overall very smart.
 
@@ -111,6 +111,6 @@ If you find Cybertron, Juanako or any of our models useful, specially if you use
   year={2023},
   publisher = {HuggingFace},
   journal = {HuggingFace repository},
-  howpublished = {\url{https://huggingface.co/fblgit/una-cybertron-7b-v1}},
+  howpublished = {\url{https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16}},
 }
 ```