--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - unsloth/Qwen2.5-7B-Instruct - nbeerbower/R1-Qwen-7B-LORA model-index: - name: Q2.5-R1-7B 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: 13.46 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B 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: 2.55 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B 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: 1.66 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B 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: 0.34 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B 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: 2.69 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B 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: 2.0 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B name: Open LLM Leaderboard --- # Merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details Qwen2.5-7B-Instruct tied with Reasoning LORA. ### Merge Method This model was merged using the Passthrough merge method using [unsloth/Qwen2.5-7B-Instruct](https://huggingface.co/unsloth/Qwen2.5-7B-Instruct) + [nbeerbower/R1-Qwen-7B-LORA](https://huggingface.co/nbeerbower/R1-Qwen-7B-LORA) as a base. ### Models Merged The following models were included in the merge: ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: unsloth/Qwen2.5-7B-Instruct+nbeerbower/R1-Qwen-7B-LORA dtype: float16 merge_method: passthrough models: - model: unsloth/Qwen2.5-7B-Instruct+nbeerbower/R1-Qwen-7B-LORA tokenizer_source: unsloth/Qwen2.5-7B ``` # [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__Q2.5-R1-7B-details) | Metric |Value| |-------------------|----:| |Avg. | 3.78| |IFEval (0-Shot) |13.46| |BBH (3-Shot) | 2.55| |MATH Lvl 5 (4-Shot)| 1.66| |GPQA (0-shot) | 0.34| |MuSR (0-shot) | 2.69| |MMLU-PRO (5-shot) | 2.00|