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Model: giraffe176/Open_Neural_Monarch_Maidv0.1 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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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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- Intel/neural-chat-7b-v3-1
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- NeverSleep/Noromaid-7B-0.4-DPO
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- teknium/OpenHermes-2.5-Mistral-7B
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- mistralai/Mistral-7B-v0.1
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- mlabonne/Monarch-7B
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model-index:
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- name: Open_Neural_Monarch_Maidv0.1
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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: 67.66
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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=giraffe176/Open_Neural_Monarch_Maidv0.1
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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: 85.94
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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=giraffe176/Open_Neural_Monarch_Maidv0.1
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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: 65.02
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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=giraffe176/Open_Neural_Monarch_Maidv0.1
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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: 56.39
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Neural_Monarch_Maidv0.1
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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: 79.32
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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=giraffe176/Open_Neural_Monarch_Maidv0.1
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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: 61.33
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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=giraffe176/Open_Neural_Monarch_Maidv0.1
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name: Open LLM Leaderboard
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---
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# Open_Neural_Monarch_Maidv0.1
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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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* [Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1)
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* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
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* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
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* [mlabonne/Monarch-7B](https://huggingface.co/mlabonne/Monarch-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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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: mlabonne/Monarch-7B
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parameters:
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density: 0.53
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weight: 0.15
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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: 0.3
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- model: teknium/OpenHermes-2.5-Mistral-7B
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parameters:
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density: 0.53
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weight: 0.3
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- model: Intel/neural-chat-7b-v3-1
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parameters:
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density: 0.53
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weight: 0.25
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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_giraffe176__Open_Neural_Monarch_Maidv0.1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.28|
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|AI2 Reasoning Challenge (25-Shot)|67.66|
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|HellaSwag (10-Shot) |85.94|
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|MMLU (5-Shot) |65.02|
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|TruthfulQA (0-shot) |56.39|
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|Winogrande (5-shot) |79.32|
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|GSM8k (5-shot) |61.33|
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