--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 - deepseek-ai/DeepSeek-R1-Distill-Qwen-14B model-index: - name: DS-R1-Distill-Q2.5-10B-Harmony 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: 17.51 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-10B-Harmony 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: 1.53 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-10B-Harmony 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: 0.0 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-10B-Harmony 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: 0.0 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-10B-Harmony 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: 1.6 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-10B-Harmony 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: 1.92 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-10B-Harmony name: Open LLM Leaderboard --- # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ### Merge Method This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method. ### Models Merged The following models were included in the merge: * [huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2) * [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 layer_range: [0, 32] - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B layer_range: [0, 32] merge_method: slerp base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 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/Triangle104__DS-R1-Distill-Q2.5-10B-Harmony-details) | Metric |Value| |-------------------|----:| |Avg. | 3.76| |IFEval (0-Shot) |17.51| |BBH (3-Shot) | 1.53| |MATH Lvl 5 (4-Shot)| 0.00| |GPQA (0-shot) | 0.00| |MuSR (0-shot) | 1.60| |MMLU-PRO (5-shot) | 1.92|