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Model: s3nh/Mistral_Sonyichi-7B-slerp Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: openrail
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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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- SanjiWatsuki/Sonya-7B
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- EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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- SanjiWatsuki/Kunoichi-7B
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pipeline_tag: text-generation
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model-index:
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- name: Mistral_Sonyichi-7B-slerp
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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: 67.49
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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=s3nh/Mistral_Sonyichi-7B-slerp
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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: 86.43
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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=s3nh/Mistral_Sonyichi-7B-slerp
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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: 63.58
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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=s3nh/Mistral_Sonyichi-7B-slerp
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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: 63.25
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Mistral_Sonyichi-7B-slerp
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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: 78.53
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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=s3nh/Mistral_Sonyichi-7B-slerp
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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: 63.84
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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=s3nh/Mistral_Sonyichi-7B-slerp
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name: Open LLM Leaderboard
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---
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# merged
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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 SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [SanjiWatsuki/Sonya-7B](https://huggingface.co/SanjiWatsuki/Sonya-7B)
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* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
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* [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-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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base_model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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dtype: bfloat16
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merge_method: slerp
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parameters:
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t:
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- filter: self_attn
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value: [0.0, 0.5, 0.3, 0.7, 1.0]
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- filter: mlp
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value: [1.0, 0.5, 0.7, 0.3, 0.0]
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- value: 0.5
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slices:
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- sources:
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- layer_range: [0, 32]
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model: SanjiWatsuki/Sonya-7B
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- layer_range: [0, 32]
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model: SanjiWatsuki/Kunoichi-7B
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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_s3nh__Mistral_Sonyichi-7B-slerp)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |70.52|
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|AI2 Reasoning Challenge (25-Shot)|67.49|
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|HellaSwag (10-Shot) |86.43|
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|MMLU (5-Shot) |63.58|
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|TruthfulQA (0-shot) |63.25|
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|Winogrande (5-shot) |78.53|
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|GSM8k (5-shot) |63.84|
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