--- base_model: - failspy/Llama-3-8B-Instruct-MopeyMule - NousResearch/DeepHermes-3-Llama-3-8B-Preview library_name: transformers tags: - mergekit - merge license: llama3 model-index: - name: Llama-3-8B-Instruct-MultiMoose results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: wis-k/instruction-following-eval split: train args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 23.18 name: averaged accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: SaylorTwift/bbh split: test args: num_few_shot: 3 metrics: - type: acc_norm value: 1.21 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: lighteval/MATH-Hard split: test args: num_few_shot: 4 metrics: - type: exact_match value: 0.0 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa split: train args: num_few_shot: 0 metrics: - type: acc_norm value: 0.45 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose 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: 2.73 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose 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: 1.04 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose 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 [Multiplicative Model Merger](https://example.com/docs) merge method. ### Models Merged The following models were included in the merge: * [failspy/Llama-3-8B-Instruct-MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule) * [NousResearch/DeepHermes-3-Llama-3-8B-Preview](https://huggingface.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview) ### Configuration The following YAML configuration was used to produce this model: ```yaml merge_method: mult models: - model: failspy/Llama-3-8B-Instruct-MopeyMule - model: NousResearch/DeepHermes-3-Llama-3-8B-Preview parameters: scale: 3 # adjust as needed normalize: true ``` # [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/stupidity-ai__Llama-3-8B-Instruct-MultiMoose-details)! Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)! | Metric |Value (%)| |-------------------|--------:| |**Average** | 4.77| |IFEval (0-Shot) | 23.18| |BBH (3-Shot) | 1.21| |MATH Lvl 5 (4-Shot)| 0.00| |GPQA (0-shot) | 0.45| |MuSR (0-shot) | 2.73| |MMLU-PRO (5-shot) | 1.04|