--- library_name: transformers tags: - mergekit - merge base_model: - bunnycore/Phi-4-Model-Stock - bunnycore/Phi-4-Model-Stock-v3 - bunnycore/Phi-4-Model-Stock-v2 - pankajmathur/orca_mini_phi-4 model-index: - name: Phi-4-Model-Stock-v4 results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 71.1 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 55.9 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 37.16 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 15.88 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 17.3 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 48.82 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4 name: Open LLM Leaderboard --- # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [bunnycore/Phi-4-Model-Stock](https://huggingface.co/bunnycore/Phi-4-Model-Stock) as a base. ### Models Merged The following models were included in the merge: * [bunnycore/Phi-4-Model-Stock-v3](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v3) * [bunnycore/Phi-4-Model-Stock-v2](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v2) * [pankajmathur/orca_mini_phi-4](https://huggingface.co/pankajmathur/orca_mini_phi-4) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: pankajmathur/orca_mini_phi-4 - model: bunnycore/Phi-4-Model-Stock-v3 - model: bunnycore/Phi-4-Model-Stock - model: bunnycore/Phi-4-Model-Stock-v2 merge_method: model_stock base_model: bunnycore/Phi-4-Model-Stock parameters: normalize: true dtype: bfloat16 tokenizer_source: bunnycore/Phi-4-Model-Stock ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__Phi-4-Model-Stock-v4-details) | Metric |Value| |-------------------|----:| |Avg. |41.03| |IFEval (0-Shot) |71.10| |BBH (3-Shot) |55.90| |MATH Lvl 5 (4-Shot)|37.16| |GPQA (0-shot) |15.88| |MuSR (0-shot) |17.30| |MMLU-PRO (5-shot) |48.82|