--- license: apache-2.0 library_name: transformers tags: - mergekit - merge - SLERP - llama - Yi-1.5 base_model: - altomek/YiSM-34B-0rn - Azure99/blossom-v5.1-34b model-index: - name: YiSM-blossom5.1-34B-SLERP 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: 50.33 name: strict accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP 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: 46.4 name: normalized accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP 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: 19.79 name: exact match source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP 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: 14.09 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP 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: 14.37 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP 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: 41.56 name: accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP name: Open LLM Leaderboard language: - en pipeline_tag: text-generation --- # merge This is a merge of pre-trained language models created [using](https://arxiv.org/abs/2403.13257) [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the SLERP merge method. ### Models Merged The following models were included in the merge: * [altomek/YiSM-34B-0rn](https://huggingface.co/altomek/YiSM-34B-0rn) * [Azure99/blossom-v5.1-34b](https://huggingface.co/Azure99/blossom-v5.1-34b) Both are based on [Yi](https://arxiv.org/abs/2403.04652)-[1.5](https://huggingface.co/01-ai/Yi-1.5-34B) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: altomek/YiSM-34B-0rn layer_range: - 0 - 60 - model: Azure99/blossom-v5.1-34b layer_range: - 0 - 60 merge_method: slerp base_model: altomek/YiSM-34B-0rn 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: 0.38 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_CombinHorizon__YiSM-blossom5.1-34B-SLERP) | Metric |Value| |-------------------|----:| |Avg. |31.09| |IFEval (0-Shot) |50.33| |BBH (3-Shot) |46.40| |MATH Lvl 5 (4-Shot)|19.79| |GPQA (0-shot) |14.09| |MuSR (0-shot) |14.37| |MMLU-PRO (5-shot) |41.56|