--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - refuelai/Llama-3-Refueled - cognitivecomputations/dolphin-2.9-llama3-8b - NousResearch/Hermes-2-Theta-Llama-3-8B - NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS - Sao10K/L3-8B-Stheno-v3.2 - cgato/L3-TheSpice-8b-v0.8.3 model-index: - name: ONeil-model_stock-8B 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: 67.86 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B 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: 36.41 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B 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: 9.21 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B 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: 7.38 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B 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: 10.97 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B 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: 28.87 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B 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 [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) as a base. ### Models Merged The following models were included in the merge: * [refuelai/Llama-3-Refueled](https://huggingface.co/refuelai/Llama-3-Refueled) * [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) * [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B) * [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS) * [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: refuelai/Llama-3-Refueled - model: cognitivecomputations/dolphin-2.9-llama3-8b - model: cgato/L3-TheSpice-8b-v0.8.3 - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS - model: NousResearch/Hermes-2-Theta-Llama-3-8B merge_method: model_stock base_model: Sao10K/L3-8B-Stheno-v3.2 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/details_DreadPoor__ONeil-model_stock-8B) | Metric |Value| |-------------------|----:| |Avg. |26.78| |IFEval (0-Shot) |67.86| |BBH (3-Shot) |36.41| |MATH Lvl 5 (4-Shot)| 9.21| |GPQA (0-shot) | 7.38| |MuSR (0-shot) |10.97| |MMLU-PRO (5-shot) |28.87|