--- library_name: transformers tags: - mergekit - merge base_model: - bunnycore/Llama-3.1-8B-TitanFusion - grimjim/Llama-3-Instruct-abliteration-LoRA-8B - bunnycore/Llama-3.1-8B-TitanFusion-v3 - bunnycore/Llama-3.1-8B-TitanFusion-v2 - bunnycore/Llama-3.1-8B-TitanFusion model-index: - name: Llama-3.1-8B-TitanFusion-Mix 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: 49.25 name: strict accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix 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: 39.54 name: normalized accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix 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: 11.4 name: exact match source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix 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: 6.04 name: acc_norm source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix 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: 12.46 name: acc_norm source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix 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: 29.95 name: accuracy source: url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix 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 [bunnycore/Llama-3.1-8B-TitanFusion](https://huggingface.co./bunnycore/Llama-3.1-8B-TitanFusion) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co./grimjim/Llama-3-Instruct-abliteration-LoRA-8B) as a base. ### Models Merged The following models were included in the merge: * [bunnycore/Llama-3.1-8B-TitanFusion-v3](https://huggingface.co./bunnycore/Llama-3.1-8B-TitanFusion-v3) * [bunnycore/Llama-3.1-8B-TitanFusion-v2](https://huggingface.co./bunnycore/Llama-3.1-8B-TitanFusion-v2) * [bunnycore/Llama-3.1-8B-TitanFusion](https://huggingface.co./bunnycore/Llama-3.1-8B-TitanFusion) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: bunnycore/Llama-3.1-8B-TitanFusion-v3 - model: bunnycore/Llama-3.1-8B-TitanFusion-v2 - model: bunnycore/Llama-3.1-8B-TitanFusion merge_method: model_stock base_model: bunnycore/Llama-3.1-8B-TitanFusion+grimjim/Llama-3-Instruct-abliteration-LoRA-8B 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_bunnycore__Llama-3.1-8B-TitanFusion-Mix) | Metric |Value| |-------------------|----:| |Avg. |24.77| |IFEval (0-Shot) |49.25| |BBH (3-Shot) |39.54| |MATH Lvl 5 (4-Shot)|11.40| |GPQA (0-shot) | 6.04| |MuSR (0-shot) |12.46| |MMLU-PRO (5-shot) |29.95|