Update README.md

README.md

@@ -19,9 +19,9 @@ Huge thanks to [@mradermacher](https://huggingface.co/mradermacher) and [@bartow
 
 Bartowski quants (imatrix): [bartowski/Gemma-2-Ataraxy-9B-GGUF](https://huggingface.co/bartowski/Gemma-2-Ataraxy-9B-GGUF)
 
-Mradermacher quants (static): [mradermacher/Gemma-2-Ataraxy-9B-GGUF](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B)
+Mradermacher quants (static): [mradermacher/Gemma-2-Ataraxy-9B-GGUF](https://huggingface.co/mradermacher/Gemma-2-Ataraxy-9B-GGUF)
 
-Mradermacher quants (imatrix): [mradermacher/Gemma-2-Ataraxy-9B-i1-GGUF](https://huggingface.co/mradermacher/Gemma-2-Ataraxy-9B-GGUF)
+Mradermacher quants (imatrix): [mradermacher/Gemma-2-Ataraxy-9B-i1-GGUF](https://huggingface.co/mradermacher/Gemma-2-Ataraxy-9B-i1-GGUF)
 
 I think bartowski and mradermacher use different calibration data for imatrix quants, or maybe you prefer static quants. Pick your poison :).
 
@@ -29,6 +29,16 @@ I think bartowski and mradermacher use different calibration data for imatrix qu
 
 Use Gemma 2 format.
 
+## Benchmarks and Leaderboard Rankings
+
+OpenLLM: Pending in Queue
+
+Creative Writing V2: Rank 1. That's right, much to everyone's surprise (mine included) this model has topped eqbench.com's creative writing benchmark.
+
+![Reddit](https://i.imgur.com/aP03a5d.png)
+
+![Leaderboard](https://i.imgur.com/gJd9Pab.png)
+
 ## Preface and Rambling
 
 My favorite Gemma 2 9B models are the SPPO iter3 and SimPO finetunes, but I felt the slerp merge between the two (nephilim v3) wasn't as good for some reason. The Gutenberg Gemma 2 finetune by nbeerbower is another my favorites. It's trained on one of my favorite datasets, and actually improves the SPPO model's average openllm leaderboard 2 average score by a bit, on top of improving it's writing capabilities and making the LLM sound less AI-like. However I still liked the original SPPO finetune just a bit more.