--- library_name: transformers tags: - mergekit - merge base_model: - rityak/L3.1-FormaxGradient - vicgalle/Configurable-Llama-3.1-8B-Instruct - ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 - grimjim/Llama-3-Instruct-abliteration-LoRA-8B - DreadPoor/Heart_Stolen-8B-Model_Stock model-index: - name: L3.1-ForStHS 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: 78.13 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 31.39 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 12.92 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 5.48 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 9.66 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 30.39 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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 [vicgalle/Configurable-Llama-3.1-8B-Instruct](https://huggingface.co/vicgalle/Configurable-Llama-3.1-8B-Instruct) as a base. ### Models Merged The following models were included in the merge: * [rityak/L3.1-FormaxGradient](https://huggingface.co/rityak/L3.1-FormaxGradient) * [ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B) * [DreadPoor/Heart_Stolen-8B-Model_Stock](https://huggingface.co/DreadPoor/Heart_Stolen-8B-Model_Stock) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B - model: DreadPoor/Heart_Stolen-8B-Model_Stock - model: rityak/L3.1-FormaxGradient merge_method: model_stock base_model: vicgalle/Configurable-Llama-3.1-8B-Instruct 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_djuna__L3.1-ForStHS) | Metric |Value| |-------------------|----:| |Avg. |28.00| |IFEval (0-Shot) |78.13| |BBH (3-Shot) |31.39| |MATH Lvl 5 (4-Shot)|12.92| |GPQA (0-shot) | 5.48| |MuSR (0-shot) | 9.66| |MMLU-PRO (5-shot) |30.39|