--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - TheDrummer/Big-Tiger-Gemma-27B-v1 - Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B - hotmailuser/Gemma2atlas-27B - hotmailuser/Gemma2SimPO-27B model-index: - name: GemmaStock1-27B 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: 75.09 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/GemmaStock1-27B 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: 50.99 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/GemmaStock1-27B 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: 25.91 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/GemmaStock1-27B 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: 15.21 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/GemmaStock1-27B 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: 15.99 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/GemmaStock1-27B 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: 41.44 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/GemmaStock1-27B 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B) as a base. ### Models Merged The following models were included in the merge: * [TheDrummer/Big-Tiger-Gemma-27B-v1](https://huggingface.co/TheDrummer/Big-Tiger-Gemma-27B-v1) * [hotmailuser/Gemma2atlas-27B](https://huggingface.co/hotmailuser/Gemma2atlas-27B) * [hotmailuser/Gemma2SimPO-27B](https://huggingface.co/hotmailuser/Gemma2SimPO-27B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: TheDrummer/Big-Tiger-Gemma-27B-v1 - model: hotmailuser/Gemma2atlas-27B - model: hotmailuser/Gemma2SimPO-27B - model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B merge_method: model_stock base_model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B normalize: false int8_mask: true dtype: bfloat16 ``` # [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__GemmaStock1-27B) | Metric |Value| |-------------------|----:| |Avg. |37.44| |IFEval (0-Shot) |75.09| |BBH (3-Shot) |50.99| |MATH Lvl 5 (4-Shot)|25.91| |GPQA (0-shot) |15.21| |MuSR (0-shot) |15.99| |MMLU-PRO (5-shot) |41.44|