187 lines
5.0 KiB
Markdown
187 lines
5.0 KiB
Markdown
---
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language:
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- en
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license: cc-by-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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- mistral
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- text-generation
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- roleplay
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base_model:
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- SanjiWatsuki/Silicon-Maid-7B
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- MTSAIR/multi_verse_model
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- SanjiWatsuki/Kunoichi-7B
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- KatyTheCutie/LemonadeRP-4.5.3
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model-index:
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- name: Smart-Lemon-Cookie-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: 66.3
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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=FallenMerick/Smart-Lemon-Cookie-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: 85.53
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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=FallenMerick/Smart-Lemon-Cookie-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: 64.69
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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=FallenMerick/Smart-Lemon-Cookie-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: 60.66
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-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: 77.74
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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=FallenMerick/Smart-Lemon-Cookie-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: 54.06
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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=FallenMerick/Smart-Lemon-Cookie-7B
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name: Open LLM Leaderboard
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---
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*image courtesy of [@matchaaaaa](https://huggingface.co/matchaaaaa)*
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</br>
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</br>
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# Smart-Lemon-Cookie-7B
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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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GGUF quants:
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* https://huggingface.co/FaradayDotDev/Smart-Lemon-Cookie-7B-GGUF
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* https://huggingface.co/mradermacher/Smart-Lemon-Cookie-7B-GGUF
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model) 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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* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
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* [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)
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* [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3)
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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: SanjiWatsuki/Silicon-Maid-7B
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parameters:
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density: 1.0
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weight: 1.0
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- model: SanjiWatsuki/Kunoichi-7B
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parameters:
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density: 0.4
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weight: 1.0
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- model: KatyTheCutie/LemonadeRP-4.5.3
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parameters:
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density: 0.6
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weight: 1.0
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merge_method: ties
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base_model: MTSAIR/multi_verse_model
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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_FallenMerick__Smart-Lemon-Cookie-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |68.16|
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|AI2 Reasoning Challenge (25-Shot)|66.30|
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|HellaSwag (10-Shot) |85.53|
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|MMLU (5-Shot) |64.69|
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|TruthfulQA (0-shot) |60.66|
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|Winogrande (5-shot) |77.74|
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|GSM8k (5-shot) |54.06|
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