--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - CultriX/Qwen2.5-14B-MergeStock - CultriX/SeQwence-14Bv1 - allknowingroger/QwenStock1-14B - CultriX/Qwen2.5-14B-Wernicke - allknowingroger/QwenStock2-14B - allknowingroger/Qwenslerp2-14B - CultriX/Qwen2.5-14B-MegaMerge-pt2 - CultriX/Qwestion-14B model-index: - name: QwenStock3-14B 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: 56.15 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B 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: 50.58 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B 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: 29.68 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B 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: 17.11 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B 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: 19.11 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B 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: 49.2 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base. ### Models Merged The following models were included in the merge: * [CultriX/Qwen2.5-14B-MergeStock](https://huggingface.co/CultriX/Qwen2.5-14B-MergeStock) * [allknowingroger/QwenStock1-14B](https://huggingface.co/allknowingroger/QwenStock1-14B) * [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke) * [allknowingroger/QwenStock2-14B](https://huggingface.co/allknowingroger/QwenStock2-14B) * [allknowingroger/Qwenslerp2-14B](https://huggingface.co/allknowingroger/Qwenslerp2-14B) * [CultriX/Qwen2.5-14B-MegaMerge-pt2](https://huggingface.co/CultriX/Qwen2.5-14B-MegaMerge-pt2) * [CultriX/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: CultriX/Qwen2.5-14B-MergeStock - model: CultriX/SeQwence-14Bv1 - model: allknowingroger/Qwenslerp2-14B - model: allknowingroger/QwenStock1-14B - model: allknowingroger/QwenStock2-14B - model: CultriX/Qwestion-14B - model: CultriX/Qwen2.5-14B-Wernicke - model: CultriX/Qwen2.5-14B-MegaMerge-pt2 base_model: CultriX/SeQwence-14Bv1 merge_method: model_stock parameters: normalize: true dtype: bfloat16 tokenizer_source: CultriX/SeQwence-14Bv1 ``` # [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__QwenStock3-14B) | Metric |Value| |-------------------|----:| |Avg. |36.97| |IFEval (0-Shot) |56.15| |BBH (3-Shot) |50.58| |MATH Lvl 5 (4-Shot)|29.68| |GPQA (0-shot) |17.11| |MuSR (0-shot) |19.11| |MMLU-PRO (5-shot) |49.20|