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--- |
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language: |
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- en |
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license: mit |
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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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- phi-4 |
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base_model: |
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- bunnycore/Phi-4-RR-Shoup |
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- bunnycore/Phi-4-Model-Stock-v4 |
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pipeline_tag: text-generation |
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model-index: |
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- name: Luminis-phi-4 |
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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: 69.0 |
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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=suayptalha/Luminis-phi-4 |
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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: 55.8 |
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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=suayptalha/Luminis-phi-4 |
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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: 43.66 |
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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=suayptalha/Luminis-phi-4 |
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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: 13.53 |
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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=suayptalha/Luminis-phi-4 |
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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: 16.68 |
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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=suayptalha/Luminis-phi-4 |
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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: 49.15 |
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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=suayptalha/Luminis-phi-4 |
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name: Open LLM Leaderboard |
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--- |
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# Merged Model |
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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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![Luminis-Logo](Luminis-Logo.png) |
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This model is currently ranked #3 on the Open LLM Leaderboard among models up to 15B parameters, #4 among models up to 32B parameters and #53 among all the models! |
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## Merge Details |
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### Merge Method |
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This model was merged using the [SLERP](https://en.wikipedia.org/wiki/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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* [bunnycore/Phi-4-RR-Shoup](https://huggingface.co/bunnycore/Phi-4-RR-Shoup) |
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* [bunnycore/Phi-4-Model-Stock-v4](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v4) |
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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: bunnycore/Phi-4-Model-Stock-v4 |
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dtype: bfloat16 |
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merge_method: slerp |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0.0, 0.5, 0.3, 0.7, 1.0] |
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- filter: mlp |
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value: [1.0, 0.5, 0.7, 0.3, 0.0] |
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- value: 0.5 |
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slices: |
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- sources: |
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- layer_range: [0, 40] |
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model: bunnycore/Phi-4-Model-Stock-v4 |
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- layer_range: [0, 40] |
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model: bunnycore/Phi-4-RR-Shoup |
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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/suayptalha__Luminis-phi-4-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |41.30| |
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|IFEval (0-Shot) |69.00| |
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|BBH (3-Shot) |55.80| |
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|MATH Lvl 5 (4-Shot)|43.66| |
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|GPQA (0-shot) |13.53| |
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|MuSR (0-shot) |16.68| |
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|MMLU-PRO (5-shot) |49.15| |
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