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---
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base_model:
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- mukaj/Llama-3.1-Hawkish-8B
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- unsloth/Meta-Llama-3.1-8B
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- T145/KRONOS-8B-V1-P3
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- T145/KRONOS-8B-V1-P1
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- unsloth/Meta-Llama-3.1-8B-Instruct
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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: KRONOS-8B-V3
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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: 54.75
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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=T145/KRONOS-8B-V3
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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: 30.29
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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=T145/KRONOS-8B-V3
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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: 23.64
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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=T145/KRONOS-8B-V3
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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: 5.15
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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=T145/KRONOS-8B-V3
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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: 7.83
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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=T145/KRONOS-8B-V3
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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: 30.43
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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=T145/KRONOS-8B-V3
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) 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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* [mukaj/Llama-3.1-Hawkish-8B](https://huggingface.co/mukaj/Llama-3.1-Hawkish-8B)
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* [T145/KRONOS-8B-V1-P3](https://huggingface.co/T145/KRONOS-8B-V1-P3)
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* [T145/KRONOS-8B-V1-P1](https://huggingface.co/T145/KRONOS-8B-V1-P1)
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* [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct)
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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
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dtype: bfloat16
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merge_method: ties
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parameters:
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density: 1.0
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weight: 1.0
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slices:
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- sources:
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- layer_range: [0, 32]
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model: T145/KRONOS-8B-V1-P1
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parameters:
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density: 1.0
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weight: 1.0
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- layer_range: [0, 32]
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model: T145/KRONOS-8B-V1-P3
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parameters:
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density: 1.0
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weight: 1.0
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- layer_range: [0, 32]
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model: mukaj/Llama-3.1-Hawkish-8B
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parameters:
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density: 1.0
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weight: 1.0
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- layer_range: [0, 32]
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model: unsloth/Meta-Llama-3.1-8B-Instruct
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parameters:
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density: 1.0
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weight: 1.0
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- layer_range: [0, 32]
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model: unsloth/Meta-Llama-3.1-8B
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tokenizer_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__KRONOS-8B-V3-details)! |
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=T145/KRONOS-8B-V3)! |
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| Metric |% Value| |
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|-------------------|------:| |
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|Avg. | 25.35| |
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|IFEval (0-Shot) | 54.75| |
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|BBH (3-Shot) | 30.29| |
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|MATH Lvl 5 (4-Shot)| 23.64| |
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|GPQA (0-shot) | 5.15| |
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|MuSR (0-shot) | 7.83| |
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|MMLU-PRO (5-shot) | 30.43| |
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