--- base_model: - DreadPoor/Rusted_Gold-8B-LINEAR - DreadPoor/H_the_eighth-8B-LINEAR - DreadPoor/Spring_Dusk-8B-SCE - DreadPoor/Aurora_faustus-8B-LINEAR library_name: transformers tags: - mergekit - merge model-index: - name: inexpertus_1.2-8B-LINEAR 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: 73.48 name: averaged accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2Finexpertus_1.2-8B-LINEAR 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: 36.06 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2Finexpertus_1.2-8B-LINEAR 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: 15.86 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2Finexpertus_1.2-8B-LINEAR 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: 6.04 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2Finexpertus_1.2-8B-LINEAR 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: 10.3 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2Finexpertus_1.2-8B-LINEAR 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: 30.98 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2Finexpertus_1.2-8B-LINEAR 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 [Linear](https://arxiv.org/abs/2203.05482) merge method. ### Models Merged The following models were included in the merge: * [DreadPoor/Rusted_Gold-8B-LINEAR](https://huggingface.co/DreadPoor/Rusted_Gold-8B-LINEAR) * [DreadPoor/H_the_eighth-8B-LINEAR](https://huggingface.co/DreadPoor/H_the_eighth-8B-LINEAR) * [DreadPoor/Spring_Dusk-8B-SCE](https://huggingface.co/DreadPoor/Spring_Dusk-8B-SCE) * [DreadPoor/Aurora_faustus-8B-LINEAR](https://huggingface.co/DreadPoor/Aurora_faustus-8B-LINEAR) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: DreadPoor/H_the_eighth-8B-LINEAR parameters: weight: 1.0 - model: DreadPoor/Spring_Dusk-8B-SCE parameters: weight: 1.0 - model: DreadPoor/Rusted_Gold-8B-LINEAR parameters: weight: 1.0 - model: DreadPoor/Aurora_faustus-8B-LINEAR parameters: weight: 1.0 merge_method: linear 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/DreadPoor__inexpertus_1.2-8B-LINEAR-details)! Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=DreadPoor%2Finexpertus_1.2-8B-LINEAR&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)! | Metric |Value (%)| |-------------------|--------:| |**Average** | 28.79| |IFEval (0-Shot) | 73.48| |BBH (3-Shot) | 36.06| |MATH Lvl 5 (4-Shot)| 15.86| |GPQA (0-shot) | 6.04| |MuSR (0-shot) | 10.30| |MMLU-PRO (5-shot) | 30.98|