初始化项目，由ModelHub XC社区提供模型
Model: Aryanne/WestSenzu-Swap-7B Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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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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- NeuralNovel/Senzu-7B-v0.1-DPO
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- senseable/WestLake-7B-v2
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model-index:
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- name: WestSenzu-Swap-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: 68.34
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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=Aryanne/WestSenzu-Swap-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: 85.7
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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=Aryanne/WestSenzu-Swap-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: 64.14
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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=Aryanne/WestSenzu-Swap-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: 50.43
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/WestSenzu-Swap-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: 82.48
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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=Aryanne/WestSenzu-Swap-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: 52.62
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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=Aryanne/WestSenzu-Swap-7B
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name: Open LLM Leaderboard
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---
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It's experimental, but seems fine for me, I didn't run it deeply yet but should be good for Role-play 😈 considering the two merged models, feel free to leave a suggestion or feedback.
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit)(my experimental branch swapping [here](https://github.com/Ar57m/mergekit/tree/swapping) )
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## Merge Details
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### Merge Method
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This model was merged using the task_swapping merge method using [NeuralNovel/Senzu-7B-v0.1-DPO](https://huggingface.co/NeuralNovel/Senzu-7B-v0.1-DPO) 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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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
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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: task_swapping
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base_model: NeuralNovel/Senzu-7B-v0.1-DPO
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models:
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- model: senseable/WestLake-7B-v2
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parameters:
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weight: 0.75
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diagonal_offset: 2 #it doesn't do anything when you use random_mask
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random_mask: 0.3333
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random_mask_seed: 98557
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dtype: bfloat16
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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_Aryanne__WestSenzu-Swap-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |67.28|
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|AI2 Reasoning Challenge (25-Shot)|68.34|
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|HellaSwag (10-Shot) |85.70|
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|MMLU (5-Shot) |64.14|
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|TruthfulQA (0-shot) |50.43|
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|Winogrande (5-shot) |82.48|
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|GSM8k (5-shot) |52.62|
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