Update README.md

README.md

@@ -107,6 +107,78 @@ model-index:
 This model was converted to GGUF format from [`lemon07r/Gemma-2-Ataraxy-v2-9B`](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v2-9B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v2-9B) for more details on the model.
 
+---
+Model details:
+-
+Gemma 2 Ataraxy v2 9B
+
+Finally, after much testing, a sucessor to the first Gemma 2 Ataraxy 9B. Same kind of recipe, using the same principles, same concept as the last Ataraxy. It's not quite a better overall model, v1 is more well rounded, v2 is a little better at writing but has a little more slop and some other issues. consider this a sidegrade.
+
+Ataraxy
+GGUF / EXL2 Quants
+
+Bartowski quants (imatrix): https://huggingface.co/bartowski/Gemma-2-Ataraxy-v2-9B-GGUF
+
+Mradermacher quants (static): https://huggingface.co/mradermacher/Gemma-2-Ataraxy-v2-9B-GGUF
+
+Mradermacher quants (imatrix): https://huggingface.co/mradermacher/Gemma-2-Ataraxy-v2-9B-i1-GGUF
+
+Bartowski and mradermacher use different calibration data for their imatrix quants I believe, and the static quant of course uses none. Pick your poison.
+
+More coming soon.
+Format
+
+Use Gemma 2 format.
+Merge Details
+Merge Method
+
+This model was merged using the SLERP merge method.
+Models Merged
+
+This is a merge of pre-trained language models created using mergekit.
+
+The following models were included in the merge:
+
+    ifable/gemma-2-Ifable-9B
+    jsgreenawalt/gemma-2-9B-it-advanced-v2.1
+
+Configuration
+
+The following YAML configuration was used to produce this model:
+
+base_model: ifable/gemma-2-Ifable-9B
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - filter: self_attn
+    value: [0.0, 0.5, 0.3, 0.7, 1.0]
+  - filter: mlp
+    value: [1.0, 0.5, 0.7, 0.3, 0.0]
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 42]
+    model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
+  - layer_range: [0, 42]
+    model: ifable/gemma-2-Ifable-9B
+
+Open LLM Leaderboard Evaluation Results
+
+Detailed results can be found here
+Metric 	Value
+Avg. 	19.16
+IFEval (0-Shot) 	21.36
+BBH (3-Shot) 	39.80
+MATH Lvl 5 (4-Shot) 	0.83
+GPQA (0-shot) 	12.30
+MuSR (0-shot) 	4.88
+MMLU-PRO (5-shot) 	35.79
+
+Second highest ranked open weight model in EQ-Bench.
+
+---
+
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)