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- Gemma-2-Ataraxy-Remix-9B-Q8_0.gguf +3 -0
- README.md +193 -3
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Gemma-2-Ataraxy-Remix-9B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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Gemma-2-Ataraxy-Remix-9B-Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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size 9827151648
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README.md
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@@ -1,3 +1,193 @@
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---
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---
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- nbeerbower/gemma2-gutenberg-9B
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- princeton-nlp/gemma-2-9b-it-SimPO
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- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
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- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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- recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
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- unsloth/gemma-2-9b-it
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- lemon07r/Gemma-2-Ataraxy-v2-9B
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- ifable/gemma-2-Ifable-9B
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- grimjim/Gemma2-Nephilim-v3-9B
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- lemon07r/Gemma-2-Ataraxy-v2a-9B
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- wzhouad/gemma-2-9b-it-WPO-HB
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- lemon07r/Gemma-2-Ataraxy-9B
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model-index:
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- name: Gemma-2-Ataraxy-Remix-9B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 70.83
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Remix-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 41.59
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Remix-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 1.28
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Remix-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 11.86
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Remix-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 13.72
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Remix-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 35.99
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Remix-9B
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name: Open LLM Leaderboard
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---
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# Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF
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This is the Q8_0 GGUF for people to try while I evaluate my merges.
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Another test model. Ignore this for now. Probably wont be good but I am testing a lot of stuff.
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [unsloth/gemma-2-9b-it](https://huggingface.co/unsloth/gemma-2-9b-it) as a base.
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### Models Merged
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The following models were included in the merge:
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* [nbeerbower/gemma2-gutenberg-9B](https://huggingface.co/nbeerbower/gemma2-gutenberg-9B)
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* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
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* [jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9B-it-advanced-v2.1)
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* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
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* [recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp](https://huggingface.co/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp)
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* [lemon07r/Gemma-2-Ataraxy-v2-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v2-9B)
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* [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B)
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* [grimjim/Gemma2-Nephilim-v3-9B](https://huggingface.co/grimjim/Gemma2-Nephilim-v3-9B)
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* [lemon07r/Gemma-2-Ataraxy-v2a-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v2a-9B)
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* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
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* [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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base_model: unsloth/gemma-2-9b-it
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dtype: bfloat16
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merge_method: model_stock
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slices:
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- sources:
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- layer_range: [0, 42]
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model: lemon07r/Gemma-2-Ataraxy-9B
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- layer_range: [0, 42]
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model: lemon07r/Gemma-2-Ataraxy-v2-9B
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- layer_range: [0, 42]
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model: lemon07r/Gemma-2-Ataraxy-v2a-9B
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- layer_range: [0, 42]
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model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
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- layer_range: [0, 42]
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model: ifable/gemma-2-Ifable-9B
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- layer_range: [0, 42]
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model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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- layer_range: [0, 42]
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model: princeton-nlp/gemma-2-9b-it-SimPO
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- layer_range: [0, 42]
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model: wzhouad/gemma-2-9b-it-WPO-HB
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- layer_range: [0, 42]
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model: nbeerbower/gemma2-gutenberg-9B
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- layer_range: [0, 42]
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model: grimjim/Gemma2-Nephilim-v3-9B
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- layer_range: [0, 42]
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model: recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
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- layer_range: [0, 42]
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model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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- layer_range: [0, 42]
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model: unsloth/gemma-2-9b-it
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lemon07r__Gemma-2-Ataraxy-Remix-9B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |29.21|
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|IFEval (0-Shot) |70.83|
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|BBH (3-Shot) |41.59|
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|MATH Lvl 5 (4-Shot)| 1.28|
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|GPQA (0-shot) |11.86|
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|MuSR (0-shot) |13.72|
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|MMLU-PRO (5-shot) |35.99|
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