--- library_name: transformers tags: - mergekit - merge base_model: - bunnycore/FuseQwQen-7B - prithivMLmods/QwQ-LCoT-7B-Instruct - qingy2024/UwU-7B-Instruct - fblgit/cybertron-v4-qw7B-UNAMGS model-index: - name: FwF-Qwen-7B-0.2 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: 44.79 name: strict accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FwF-Qwen-7B-0.2 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: 37.67 name: normalized accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FwF-Qwen-7B-0.2 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: 22.36 name: exact match source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FwF-Qwen-7B-0.2 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: 5.37 name: acc_norm source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FwF-Qwen-7B-0.2 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: 12.29 name: acc_norm source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FwF-Qwen-7B-0.2 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: 37.58 name: accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FwF-Qwen-7B-0.2 name: Open LLM Leaderboard --- FwF-Qwen-7B-0.2 is a large language model that is created by merging three other models. These models are specialized for reasoning, long thinking, roleplay, and general tasks, respectively. ## 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: * [bunnycore/FuseQwQen-7B](https://huggingface.co./bunnycore/FuseQwQen-7B) * [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co./prithivMLmods/QwQ-LCoT-7B-Instruct) * [qingy2024/UwU-7B-Instruct](https://huggingface.co./qingy2024/UwU-7B-Instruct) * [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co./fblgit/cybertron-v4-qw7B-UNAMGS) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: bunnycore/FuseQwQen-7B parameters: weight: 0.9 - model: qingy2024/UwU-7B-Instruct parameters: weight: 0.9 - model: prithivMLmods/QwQ-LCoT-7B-Instruct parameters: weight: 0.5 - model: fblgit/cybertron-v4-qw7B-UNAMGS parameters: weight: 0.5 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/bunnycore__FwF-Qwen-7B-0.2-details) | Metric |Value| |-------------------|----:| |Avg. |26.68| |IFEval (0-Shot) |44.79| |BBH (3-Shot) |37.67| |MATH Lvl 5 (4-Shot)|22.36| |GPQA (0-shot) | 5.37| |MuSR (0-shot) |12.29| |MMLU-PRO (5-shot) |37.58|