--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - Hastagaras/Jamet-8B-L3-MK.V-Blackroot - NousResearch/DeepHermes-3-Llama-3-8B-Preview model-index: - name: LThreePointOne-8B-HermesBlackroot 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: 17.92 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/LThreePointOne-8B-HermesBlackroot 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: 29.27 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/LThreePointOne-8B-HermesBlackroot 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: 1.96 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/LThreePointOne-8B-HermesBlackroot 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: 7.61 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/LThreePointOne-8B-HermesBlackroot 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: 8.82 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/LThreePointOne-8B-HermesBlackroot 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: 25.38 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/LThreePointOne-8B-HermesBlackroot name: Open LLM Leaderboard --- # Merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details DeepHermes model merged with Blackroot model. Credit to NousResearch for *DeepHermes-3-Llama-3-8B-Preview* and Hastagaras for *Jamet-8B-L3-MK.V-Blackroot*. ### Merge Method This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method. ### Models Merged The following models were included in the merge: * [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot) * [NousResearch/DeepHermes-3-Llama-3-8B-Preview](https://huggingface.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot layer_range: [0, 32] - model: NousResearch/DeepHermes-3-Llama-3-8B-Preview layer_range: [0, 32] merge_method: slerp base_model: NousResearch/DeepHermes-3-Llama-3-8B-Preview parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 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/Triangle104__LThreePointOne-8B-HermesBlackroot-details) | Metric |Value| |-------------------|----:| |Avg. |15.16| |IFEval (0-Shot) |17.92| |BBH (3-Shot) |29.27| |MATH Lvl 5 (4-Shot)| 1.96| |GPQA (0-shot) | 7.61| |MuSR (0-shot) | 8.82| |MMLU-PRO (5-shot) |25.38|