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--- |
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license: other |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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base_model: |
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- jeiku/SpaghettiOs_7B |
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- jeiku/Rainbow_69_7B |
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model-index: |
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- name: Cookie_7B |
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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: 69.71 |
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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=ChaoticNeutrals/Cookie_7B |
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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: 87.57 |
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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=ChaoticNeutrals/Cookie_7B |
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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: 64.51 |
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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=ChaoticNeutrals/Cookie_7B |
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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: 66.88 |
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source: |
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url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Cookie_7B |
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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: 81.37 |
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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=ChaoticNeutrals/Cookie_7B |
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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: 61.18 |
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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=ChaoticNeutrals/Cookie_7B |
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name: Open LLM Leaderboard |
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--- |
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# Cookie |
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A reasonably logical model with a few datasets thrown in to increase RP abilities. This is a good candidate for a balanced 7B model that can provide assistant functionality alongside roleplaying or romantic endeavors. |
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/ihl6LZY3smChRokJkHm9Q.jpeg) |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [jeiku/SpaghettiOs_7B](https://huggingface.co./jeiku/SpaghettiOs_7B) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [jeiku/Rainbow_69_7B](https://huggingface.co./jeiku/Rainbow_69_7B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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merge_method: dare_ties |
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base_model: jeiku/SpaghettiOs_7B |
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parameters: |
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normalize: true |
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models: |
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- model: jeiku/SpaghettiOs_7B |
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parameters: |
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weight: 1 |
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- model: jeiku/Rainbow_69_7B |
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parameters: |
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weight: 1 |
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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_ChaoticNeutrals__Cookie_7B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.87| |
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|AI2 Reasoning Challenge (25-Shot)|69.71| |
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|HellaSwag (10-Shot) |87.57| |
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|MMLU (5-Shot) |64.51| |
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|TruthfulQA (0-shot) |66.88| |
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|Winogrande (5-shot) |81.37| |
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|GSM8k (5-shot) |61.18| |
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