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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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- Triangle104/Phi4-RP-o1 |
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- ngxson/LoRA-phi-4-abliterated |
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model-index: |
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- name: Phi4-RP-o1-Ablit |
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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: 2.39 |
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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=Triangle104/Phi4-RP-o1-Ablit |
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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: 51.22 |
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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=Triangle104/Phi4-RP-o1-Ablit |
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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: 38.82 |
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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=Triangle104/Phi4-RP-o1-Ablit |
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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: 15.1 |
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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=Triangle104/Phi4-RP-o1-Ablit |
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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: 18.93 |
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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=Triangle104/Phi4-RP-o1-Ablit |
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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: 45.61 |
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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=Triangle104/Phi4-RP-o1-Ablit |
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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 Passthrough merge method using [Triangle104/Phi4-RP-o1](https://huggingface.co/Triangle104/Phi4-RP-o1) + [ngxson/LoRA-phi-4-abliterated](https://huggingface.co/ngxson/LoRA-phi-4-abliterated) 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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### 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: Triangle104/Phi4-RP-o1+ngxson/LoRA-phi-4-abliterated |
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dtype: bfloat16 |
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merge_method: passthrough |
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models: |
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- model: Triangle104/Phi4-RP-o1+ngxson/LoRA-phi-4-abliterated |
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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/Triangle104__Phi4-RP-o1-Ablit-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |28.68| |
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|IFEval (0-Shot) | 2.39| |
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|BBH (3-Shot) |51.22| |
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|MATH Lvl 5 (4-Shot)|38.82| |
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|GPQA (0-shot) |15.10| |
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|MuSR (0-shot) |18.93| |
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|MMLU-PRO (5-shot) |45.61| |
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