--- language: - en license: mit library_name: transformers tags: - mergekit - merge - not-for-all-audiences base_model: - bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V - bamec66557/MISCHIEVOUS-12B-Mix_0.4v pipeline_tag: text-generation model-index: - name: MISCHIEVOUS-12B-Mix_III_IV_V 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: 40.31 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V 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: 34.85 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V 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: 12.84 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V 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: 9.4 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V 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: 12.34 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V 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: 29.6 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V 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: * [bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V) * [bamec66557/MISCHIEVOUS-12B-Mix_0.4v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.4v) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v layer_range: [0, 15] - model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V layer_range: [0, 15] parameters: t: - value: 0.8 - sources: - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v layer_range: [15, 30] - model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V layer_range: [15, 30] parameters: t: - value: [0.8, 1.0, 0.8] - sources: - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v layer_range: [30, 40] - model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V layer_range: [30, 40] parameters: t: - value: 1.0 - filter: self_attn value: [0.9, 1.0, 1.1] merge_method: slerp base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v dtype: bfloat16 regularization: - method: weight_clipping clip_range: [-0.1, 0.1] postprocessing: - operation: gaussian_smoothing sigma: 1.2 - operation: normalize ``` # [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/bamec66557__MISCHIEVOUS-12B-Mix_III_IV_V-details) | Metric |Value| |-------------------|----:| |Avg. |23.22| |IFEval (0-Shot) |40.31| |BBH (3-Shot) |34.85| |MATH Lvl 5 (4-Shot)|12.84| |GPQA (0-shot) | 9.40| |MuSR (0-shot) |12.34| |MMLU-PRO (5-shot) |29.60|