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README.md

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+
+---
+
+base_model:
+- ifable/gemma-2-Ifable-9B
+- unsloth/gemma-2-9b-it
+- wzhouad/gemma-2-9b-it-WPO-HB
+- nbeerbower/Gemma2-Gutenberg-Doppel-9B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/Gemma-2-Ataraxy-v3j-9B-GGUF
+This is quantized version of [lemon07r/Gemma-2-Ataraxy-v3j-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v3j-9B) created using llama.cpp
+
+# Original Model Card
+
+# Gemma-2-Ataraxy-v3j-9B
+
+Err another test model. We near the end of all this though. 
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the della merge method using [unsloth/gemma-2-9b-it](https://huggingface.co/unsloth/gemma-2-9b-it) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B)
+* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
+* [nbeerbower/Gemma2-Gutenberg-Doppel-9B](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: unsloth/gemma-2-9b-it
+dtype: bfloat16
+merge_method: della
+parameters:
+  epsilon: 0.1
+  int8_mask: 1.0
+  lambda: 1.0
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 42]
+    model: unsloth/gemma-2-9b-it
+  - layer_range: [0, 42]
+    model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
+    parameters:
+      density: 0.55
+      weight: 0.6
+  - layer_range: [0, 42]
+    model: wzhouad/gemma-2-9b-it-WPO-HB
+    parameters:
+      density: 0.35
+      weight: 0.6
+  - layer_range: [0, 42]
+    model: ifable/gemma-2-Ifable-9B
+    parameters:
+      density: 0.25
+      weight: 0.4
+```
+