149 lines
4.0 KiB
Markdown
149 lines
4.0 KiB
Markdown
---
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license: apache-2.0
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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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- allknowingroger/Qwen2.5-7B-task8
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- allknowingroger/HomerSlerp2-7B
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model-index:
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- name: HomerSlerp4-7B
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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: 43.74
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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=allknowingroger/HomerSlerp4-7B
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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: 36.79
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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=allknowingroger/HomerSlerp4-7B
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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: 29.53
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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=allknowingroger/HomerSlerp4-7B
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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: 9.28
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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=allknowingroger/HomerSlerp4-7B
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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: 13.77
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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=allknowingroger/HomerSlerp4-7B
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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: 38.58
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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=allknowingroger/HomerSlerp4-7B
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name: Open LLM Leaderboard
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---
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# merge
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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 SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [allknowingroger/Qwen2.5-7B-task8](https://huggingface.co/allknowingroger/Qwen2.5-7B-task8)
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* [allknowingroger/HomerSlerp2-7B](https://huggingface.co/allknowingroger/HomerSlerp2-7B)
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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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models:
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- model: allknowingroger/HomerSlerp2-7B
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- model: allknowingroger/Qwen2.5-7B-task8
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merge_method: slerp
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base_model: allknowingroger/Qwen2.5-7B-task8
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dtype: bfloat16
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parameters:
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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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_allknowingroger__HomerSlerp4-7B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |28.62|
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|IFEval (0-Shot) |43.74|
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|BBH (3-Shot) |36.79|
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|MATH Lvl 5 (4-Shot)|29.53|
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|GPQA (0-shot) | 9.28|
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|MuSR (0-shot) |13.77|
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|MMLU-PRO (5-shot) |38.58|
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