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README.md

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+
+---
+
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- nbeerbower/Gemma2-Gutenberg-Doppel-9B
+- ifable/gemma-2-Ifable-9B
+- unsloth/gemma-2-9b-it
+- wzhouad/gemma-2-9b-it-WPO-HB
+model-index:
+- name: Gemma-2-Ataraxy-v3i-9B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 42.03
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v3i-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 38.24
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v3i-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 0.15
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v3i-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 10.4
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v3i-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 1.76
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v3i-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 35.18
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v3i-9B
+      name: Open LLM Leaderboard
+
+---
+
+[![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-v3i-9B-GGUF
+This is quantized version of [lemon07r/Gemma-2-Ataraxy-v3i-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v3i-9B) created using llama.cpp
+
+# Original Model Card
+
+# Gemma-2-Ataraxy-v3i-9B
+
+Another experimental model. This one is in the vein of advanced 2.1, but we replace the simpo model used in the original recipe, with a different simpo model, that was more finetuned with writing in mind, ifable. We also use another writing model, which was trained on gutenberg. We use this one at a higher density because SPPO, on paper is the superior training method, to simpo, and quite frankly, ifable is finicky to work with, and can end up being a little too strong.. or heavy in merges. It's a very strong writer but it introduced quite a bit slop in v2. 
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## GGUF
+
+https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v3i-9B-Q8_0-GGUF
+
+## 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:
+* [nbeerbower/Gemma2-Gutenberg-Doppel-9B](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B)
+* [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)
+
+### 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: wzhouad/gemma-2-9b-it-WPO-HB
+    parameters:
+      density: 0.55
+      weight: 0.6
+  - layer_range: [0, 42]
+    model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
+    parameters:
+      density: 0.35
+      weight: 0.6
+  - layer_range: [0, 42]
+    model: ifable/gemma-2-Ifable-9B
+    parameters:
+      density: 0.25
+      weight: 0.4
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lemon07r__Gemma-2-Ataraxy-v3i-9B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |21.29|
+|IFEval (0-Shot)    |42.03|
+|BBH (3-Shot)       |38.24|
+|MATH Lvl 5 (4-Shot)| 0.15|
+|GPQA (0-shot)      |10.40|
+|MuSR (0-shot)      | 1.76|
+|MMLU-PRO (5-shot)  |35.18|
+
+