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