Update README.md

README.md

@@ -71,14 +71,11 @@ tokenizer_source: base
 # Benchmarks
 ### NeoEvalPlusN_benchmark
 [My meme benchmark.](https://huggingface.co/datasets/ChuckMcSneed/NeoEvalPlusN_benchmark)
-| Test name  | Gembo |
-| ---------- | ---------- |
-| B | 3| 
-| C | 2| 
-| D | 1 | 
-| S | 7.25 | 
-| P | 6 | 
-| Total | 19.25 |
+|Name                                       |B  |C  |D  |S   |P   |total|BCD|SP   |
+|-------------------------------------------|---|---|---|----|----|-----|---|-----|
+|ChuckMcSneed/PMaxxxer-v1-70b               |3  |1  |1  |6.75|4.75|16.5 |5  |11.5 |
+|ChuckMcSneed/SMaxxxer-v1-70b               |2  |1  |0  |7.25|4.25|14.5 |3  |11.5 |
+|ChuckMcSneed/ArcaneEntanglement-model64-70b|3  |2  |1  |7.25|6   |19.25|6  |13.25|
 
 Absurdly high. That's what happens when you optimize the merges for a benchmark.