--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B - piotr25691/SystemGemma2-27b-it model-index: - name: Gemma2Slerp2-27B 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: 75.46 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Gemma2Slerp2-27B 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: 51.09 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Gemma2Slerp2-27B 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: 24.32 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Gemma2Slerp2-27B 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: 16.0 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Gemma2Slerp2-27B 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: 16.93 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Gemma2Slerp2-27B 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: 40.25 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Gemma2Slerp2-27B 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 SLERP merge method. ### Models Merged The following models were included in the merge: * [Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B) * [piotr25691/SystemGemma2-27b-it](https://huggingface.co/piotr25691/SystemGemma2-27b-it) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B - model: piotr25691/SystemGemma2-27b-it merge_method: slerp base_model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B dtype: bfloat16 parameters: t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers ``` # [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/details_allknowingroger__Gemma2Slerp2-27B) | Metric |Value| |-------------------|----:| |Avg. |37.34| |IFEval (0-Shot) |75.46| |BBH (3-Shot) |51.09| |MATH Lvl 5 (4-Shot)|24.32| |GPQA (0-shot) |16.00| |MuSR (0-shot) |16.93| |MMLU-PRO (5-shot) |40.25|