--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - jpacifico/Chocolatine-14B-Instruct-4k-DPO - jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 - failspy/Phi-3-medium-4k-instruct-abliterated-v3 model-index: - name: Ph3task1-14B 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: 46.95 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 47.93 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 13.9 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 13.42 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 16.81 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 41.49 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [jpacifico/Chocolatine-14B-Instruct-DPO-v1.2](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2) as a base. ### Models Merged The following models were included in the merge: * [jpacifico/Chocolatine-14B-Instruct-4k-DPO](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-4k-DPO) * [failspy/Phi-3-medium-4k-instruct-abliterated-v3](https://huggingface.co/failspy/Phi-3-medium-4k-instruct-abliterated-v3) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 parameters: weight: 1.0 - model: failspy/Phi-3-medium-4k-instruct-abliterated-v3 parameters: weight: 1.0 - model: jpacifico/Chocolatine-14B-Instruct-4k-DPO parameters: weight: 1.0 merge_method: task_arithmetic base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 parameters: normalize: 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_allknowingroger__Ph3task1-14B) | Metric |Value| |-------------------|----:| |Avg. |30.08| |IFEval (0-Shot) |46.95| |BBH (3-Shot) |47.93| |MATH Lvl 5 (4-Shot)|13.90| |GPQA (0-shot) |13.42| |MuSR (0-shot) |16.81| |MMLU-PRO (5-shot) |41.49|