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Model: saishf/Top-Western-Maid-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: cc-by-nc-4.0
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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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- NeverSleep/Noromaid-7B-0.4-DPO
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- Undi95/Toppy-M-7B
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- mistralai/Mistral-7B-v0.1
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- senseable/WestLake-7B-v2
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model-index:
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- name: Top-Western-Maid-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: 69.37
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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=saishf/Top-Western-Maid-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: 87.4
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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=saishf/Top-Western-Maid-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: 64.63
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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=saishf/Top-Western-Maid-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: 58.79
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Top-Western-Maid-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: 83.27
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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=saishf/Top-Western-Maid-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: 65.96
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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=saishf/Top-Western-Maid-7B
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name: Open LLM Leaderboard
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---
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# merge
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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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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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* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
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* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B)
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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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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: senseable/WestLake-7B-v2
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parameters:
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density: 0.53
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weight: 0.55
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- model: NeverSleep/Noromaid-7B-0.4-DPO
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parameters:
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density: 0.53
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weight: 0.30
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- model: Undi95/Toppy-M-7B
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parameters:
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density: 0.53
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weight: 0.15
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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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_saishf__Top-Western-Maid-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |71.57|
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|AI2 Reasoning Challenge (25-Shot)|69.37|
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|HellaSwag (10-Shot) |87.40|
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|MMLU (5-Shot) |64.63|
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|TruthfulQA (0-shot) |58.79|
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|Winogrande (5-shot) |83.27|
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|GSM8k (5-shot) |65.96|
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