--- base_model: - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 - T145/KRONOS-8B-V5 - akjindal53244/Llama-3.1-Storm-8B - arcee-ai/Llama-3.1-SuperNova-Lite library_name: transformers tags: - mergekit - merge model-index: - name: ZEUS-8B-V9 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: 55.51 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/ZEUS-8B-V9 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: 31.85 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/ZEUS-8B-V9 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: 21.15 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/ZEUS-8B-V9 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=T145/ZEUS-8B-V9 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: 8.73 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/ZEUS-8B-V9 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: 32.24 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/ZEUS-8B-V9 name: Open LLM Leaderboard --- # Untitled Model (1) 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [T145/KRONOS-8B-V5](https://huggingface.co/T145/KRONOS-8B-V5) as a base. ### Models Merged The following models were included in the merge: * [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2) * [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B) * [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: T145/KRONOS-8B-V5 dtype: bfloat16 merge_method: dare_ties slices: - sources: - layer_range: [0, 32] model: akjindal53244/Llama-3.1-Storm-8B parameters: density: 0.8 weight: 0.25 - layer_range: [0, 32] model: arcee-ai/Llama-3.1-SuperNova-Lite parameters: density: 0.8 weight: 0.33 - layer_range: [0, 32] model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 parameters: density: 0.8 weight: 0.42 - layer_range: [0, 32] model: T145/KRONOS-8B-V5 tokenizer_source: base ``` # [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/T145__ZEUS-8B-V9-details)! Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=T145/ZEUS-8B-V9)! | Metric |% Value| |-------------------|------:| |Avg. | 25.83| |IFEval (0-Shot) | 55.51| |BBH (3-Shot) | 31.85| |MATH Lvl 5 (4-Shot)| 21.15| |GPQA (0-shot) | 5.48| |MuSR (0-shot) | 8.73| |MMLU-PRO (5-shot) | 32.24|