--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - DreadPoor/LemonP-8B-Model_Stock - DreadPoor/Heart_Stolen1.1-8B-Model_Stock - unsloth/Meta-Llama-3.1-8B - DreadPoor/Aspire_1.3-8B_model-stock model-index: - name: L3.1-BaeZel-8B-Della 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: 51.8 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della 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: 35.16 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della 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: 16.92 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della 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: 9.28 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della 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: 11.6 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della 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: 32.25 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della 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 della merge method using [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) as a base. ### Models Merged The following models were included in the merge: * [DreadPoor/LemonP-8B-Model_Stock](https://huggingface.co/DreadPoor/LemonP-8B-Model_Stock) * [DreadPoor/Heart_Stolen1.1-8B-Model_Stock](https://huggingface.co/DreadPoor/Heart_Stolen1.1-8B-Model_Stock) * [DreadPoor/Aspire_1.3-8B_model-stock](https://huggingface.co/DreadPoor/Aspire_1.3-8B_model-stock) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: DreadPoor/Aspire_1.3-8B_model-stock parameters: weight: 1.0 - model: DreadPoor/LemonP-8B-Model_Stock parameters: weight: 1.0 - model: DreadPoor/Heart_Stolen1.1-8B-Model_Stock parameters: weight: 1.0 merge_method: della base_model: unsloth/Meta-Llama-3.1-8B parameters: density: 1 lambda: 1.05 epsilon: 0.04 normalize: true int8_mask: true dtype: float32 out_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/details_DreadPoor__L3.1-BaeZel-8B-Della) | Metric |Value| |-------------------|----:| |Avg. |26.17| |IFEval (0-Shot) |51.80| |BBH (3-Shot) |35.16| |MATH Lvl 5 (4-Shot)|16.92| |GPQA (0-shot) | 9.28| |MuSR (0-shot) |11.60| |MMLU-PRO (5-shot) |32.25|