初始化项目，由ModelHub XC社区提供模型
Model: Nitral-Archive/Kunocchini-7b Source: Original Platform
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ModelHub XC
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README.md
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README.md
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---
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license: other
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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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- alpaca
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- mistral
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base_model:
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- SanjiWatsuki/Kunoichi-DPO-v2-7B
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- Epiculous/Fett-uccine-7B
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model-index:
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- name: Kunocchini-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: 67.49
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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=Test157t/Kunocchini-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: 86.85
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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=Test157t/Kunocchini-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: 63.89
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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=Test157t/Kunocchini-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: 68.62
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Kunocchini-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: 77.98
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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=Test157t/Kunocchini-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: 47.84
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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=Test157t/Kunocchini-7b
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name: Open LLM Leaderboard
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---
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Thanks to @Epiculous for the dope model/ help with llm backends and support overall.
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Id like to also thank @kalomaze for the dope sampler additions to ST.
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@SanjiWatsuki Thank you very much for the help, and the model!
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ST users can find the TextGenPreset in the folder labeled so.
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Quants:Thank you @bartowski, @jeiku, @konz00.
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https://huggingface.co/bartowski/Kunocchini-exl2
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https://huggingface.co/jeiku/Konocchini-7B_GGUF
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https://huggingface.co/konz00/Kunocchini-7b-GGUF
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The following models were included in the merge:
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* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
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* [Epiculous/Fett-uccine-7B](https://huggingface.co/Epiculous/Fett-uccine-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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slices:
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- sources:
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [0, 32]
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- model: Epiculous/Fett-uccine-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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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_Test157t__Kunocchini-7b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |68.78|
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|AI2 Reasoning Challenge (25-Shot)|67.49|
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|HellaSwag (10-Shot) |86.85|
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|MMLU (5-Shot) |63.89|
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|TruthfulQA (0-shot) |68.62|
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|Winogrande (5-shot) |77.98|
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|GSM8k (5-shot) |47.84|
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