--- license: apache-2.0 tags: - merge - mergekit - mlabonne/AlphaMonarch-7B - mlabonne/NeuralMonarch-7B - bardsai/jaskier-7b-dpo-v5.6 model-index: - name: neurotic-crown-clown-7b-ties results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 72.35 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 88.61 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 64.77 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 76.5 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 84.69 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 71.34 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties name: Open LLM Leaderboard --- # neurotic-crown-clown-7B-ties ![neurotic-crown-clown-image](./neurotic-crown-clown.png) neurotic-crown-clown-7B-ties is a TRIM, ELECT SIGN & MERGE (TIES) merge of the following models using [mergekit](https://github.com/cg123/mergekit): * [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B) * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) * [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6) See the paper [TIES-Merging: Resolving Interference When Merging Models](https://arxiv.org/abs/2306.01708) for more on the method. ## 🧩 Configuration ```yaml models: - model: mlabonne/NeuralMonarch-7B # no parameters necessary for base model - model: mlabonne/AlphaMonarch-7B parameters: density: 0.5 weight: 0.5 - model: bardsai/jaskier-7b-dpo-v5.6 parameters: density: 0.5 weight: 0.3 merge_method: ties base_model: mlabonne/NeuralMonarch-7B parameters: normalize: true dtype: float16 ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_CorticalStack__neurotic-crown-clown-7b-ties) | Metric |Value| |---------------------------------|----:| |Avg. |76.38| |AI2 Reasoning Challenge (25-Shot)|72.35| |HellaSwag (10-Shot) |88.61| |MMLU (5-Shot) |64.77| |TruthfulQA (0-shot) |76.50| |Winogrande (5-shot) |84.69| |GSM8k (5-shot) |71.34|