--- language: - en - fr - de - es - it - pt - ru - zh - ja - ko license: apache-2.0 library_name: transformers tags: - mergekit - merge - not-for-all-audiences base_model: - bamec66557/VICIOUS_MESH-12B-NEMO model-index: - name: VICIOUS_MESH-12B-OMEGA 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 name: strict accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA 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: 31.52 name: normalized accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA 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: 12.08 name: exact match source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA 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: 8.72 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA 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: 14.54 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA 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: 29.74 name: accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA name: Open LLM Leaderboard datasets: - open-llm-leaderboard/bamec66557__VICIOUS_MESH-12B-BETA-details - open-llm-leaderboard/bamec66557__VICIOUS_MESH-12B-OMEGA-details pipeline_tag: text-generation --- # VICIOUS_MESH-12B-OMEGA # [GGUF] * [ Q4_K_M.gguf ](https://huggingface.co/bamec66557/VICIOUS_MESH-12B-OMEGA-Q4_K_M-GGUF) 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using D:\VICIOUS_MESH-12B-NEMO as a base. ### Models Merged The following models were included in the merge: * D:\VICIOUS_MESH-12B-BETA ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: D:\VICIOUS_MESH-12B-NEMO parameters: weight: 1 density: 1 - model: D:\VICIOUS_MESH-12B-BETA parameters: weight: 0.7 density: 1 merge_method: ties base_model: D:\VICIOUS_MESH-12B-NEMO parameters: weight: 1 density: 1 normalize: true int8_mask: true tokenizer_source: D:\VICIOUS_MESH-12B-NEMO 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/bamec66557__VICIOUS_MESH-12B-OMEGA-details) | Metric |Value| |-------------------|----:| |Avg. |27.27| |IFEval (0-Shot) |67.00| |BBH (3-Shot) |31.52| |MATH Lvl 5 (4-Shot)|12.08| |GPQA (0-shot) | 8.72| |MuSR (0-shot) |14.54| |MMLU-PRO (5-shot) |29.74|