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---
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base_model:
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- arcee-ai/Llama-3.1-SuperNova-Lite
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- unsloth/Meta-Llama-3.1-8B-Instruct
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- unsloth/Llama-3.1-Storm-8B
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- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
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- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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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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model-index:
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- name: ZEUS-8B-V19
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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: wis-k/instruction-following-eval
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split: train
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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: 78.83
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name: averaged accuracy
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source:
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url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V19
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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: SaylorTwift/bbh
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split: test
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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: 32.64
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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#/?search=T145%2FZEUS-8B-V19
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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: lighteval/MATH-Hard
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split: test
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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: 20.02
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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#/?search=T145%2FZEUS-8B-V19
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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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split: train
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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: 9.62
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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#/?search=T145%2FZEUS-8B-V19
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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: 10.7
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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#/?search=T145%2FZEUS-8B-V19
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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: 32.6
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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#/?search=T145%2FZEUS-8B-V19
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name: Open LLM Leaderboard
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---
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# Untitled Model (1)
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./unsloth/Meta-Llama-3.1-8B-Instruct) 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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* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co./arcee-ai/Llama-3.1-SuperNova-Lite)
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* [unsloth/Llama-3.1-Storm-8B](https://huggingface.co./unsloth/Llama-3.1-Storm-8B)
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* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co./VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)
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* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co./Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
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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/Meta-Llama-3.1-8B-Instruct
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dtype: bfloat16
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merge_method: dare_ties
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parameters:
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int8_mask: 1.0
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normalize: 1.0
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random_seed: 145.0
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slices:
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- sources:
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- layer_range: [0, 32]
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model: unsloth/Llama-3.1-Storm-8B
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parameters:
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density: 0.95
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weight: 0.29
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- layer_range: [0, 32]
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model: arcee-ai/Llama-3.1-SuperNova-Lite
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parameters:
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density: 0.93
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weight: 0.26
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- layer_range: [0, 32]
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model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
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parameters:
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density: 0.92
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weight: 0.25
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- layer_range: [0, 32]
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model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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parameters:
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density: 0.92
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weight: 0.2
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- layer_range: [0, 32]
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model: unsloth/Meta-Llama-3.1-8B-Instruct
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tokenizer:
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tokens:
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<|begin_of_text|>:
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force: true
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source: unsloth/Meta-Llama-3.1-8B-Instruct
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<|eot_id|>:
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force: true
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source: unsloth/Meta-Llama-3.1-8B-Instruct
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<|finetune_right_pad_id|>:
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force: true
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source: unsloth/Meta-Llama-3.1-8B-Instruct
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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/T145__ZEUS-8B-V19-details)! |
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Summarized results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/contents/viewer/default/train?q=T145%2FZEUS-8B-V19&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)! |
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| Metric |Value (%)| |
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|-------------------|--------:| |
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|**Average** | 30.73| |
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|IFEval (0-Shot) | 78.83| |
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|BBH (3-Shot) | 32.64| |
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|MATH Lvl 5 (4-Shot)| 20.02| |
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|GPQA (0-shot) | 9.62| |
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|MuSR (0-shot) | 10.70| |
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|MMLU-PRO (5-shot) | 32.60| |
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