初始化项目，由ModelHub XC社区提供模型
Model: kaitchup/Mayonnaise-4in1-01 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: apache-2.0
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library_name: transformers
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tags:
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- merge
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model-index:
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- name: Mayonnaise-4in1-01
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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: 73.46
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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=kaitchup/Mayonnaise-4in1-01
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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: 88.47
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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=kaitchup/Mayonnaise-4in1-01
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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: 64.95
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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=kaitchup/Mayonnaise-4in1-01
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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: 69.18
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaitchup/Mayonnaise-4in1-01
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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: 84.14
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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=kaitchup/Mayonnaise-4in1-01
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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: 70.96
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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=kaitchup/Mayonnaise-4in1-01
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name: Open LLM Leaderboard
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---
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# Model Card for Model ID
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This is a mixture of experts created with [mergekit](https://github.com/cg123/mergekit) and based on [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
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## Model Details
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The model was created using a recipe detailed in this article:
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[The Mayonnaise: Rank First on the Open LLM Leaderboard with TIES-Merging
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](https://kaitchup.substack.com/p/the-mayonnaise-rank-first-on-the)
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
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- **Model type:** Causal
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- **Language(s) (NLP):** English
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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### Model Sources
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Created with mergekit with this configuration:
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```
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models:
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- model: mncai/mistral-7b-dpo-v5
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# no parameters necessary for base model
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- model: flemmingmiguel/MBX-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: BarryFutureman/NeuralTurdusVariant1-7B
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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: mncai/mistral-7b-dpo-v5
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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_kaitchup__Mayonnaise-4in1-01)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |75.19|
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|AI2 Reasoning Challenge (25-Shot)|73.46|
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|HellaSwag (10-Shot) |88.47|
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|MMLU (5-Shot) |64.95|
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|TruthfulQA (0-shot) |69.18|
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|Winogrande (5-shot) |84.14|
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|GSM8k (5-shot) |70.96|
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