--- license: apache-2.0 tags: - mergekit - merge base_model: - NeverSleep/CausalLM-RP-34B - anthracite-org/magnum-v3-34b model-index: - name: Casual-Magnum-34B 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: 19.3 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B 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: 43.05 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B 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: 7.85 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B 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: 16.33 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B 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: 8.4 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B 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: 46.49 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B 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: * NeverSleep/CausalLM-RP-34B * anthracite-org/magnum-v3-34b ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: ../models/anthracite-org_magnum-v3-34b - model: ../models/NeverSleep_CausalLM-RP-34B merge_method: slerp base_model: ../models/NeverSleep_CausalLM-RP-34B parameters: t: - value: [0, 0.1, 0.2, 0.4, 0.5, 0.6, 0.5, 0.4, 0.2, 0.1, 0] embed_slerp: true dtype: float16 ``` # [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_Jacoby746__Casual-Magnum-34B) | Metric |Value| |-------------------|----:| |Avg. |23.57| |IFEval (0-Shot) |19.30| |BBH (3-Shot) |43.05| |MATH Lvl 5 (4-Shot)| 7.85| |GPQA (0-shot) |16.33| |MuSR (0-shot) | 8.40| |MMLU-PRO (5-shot) |46.49|