初始化项目,由ModelHub XC社区提供模型
Model: Walmart-the-bag/MysticFusion-13B Source: Original Platform
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---
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language:
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- en
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license: llama2
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pipeline_tag: text-generation
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inference: false
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model-index:
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- name: MysticFusion-13B
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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: 61.35
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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=Walmart-the-bag/MysticFusion-13B
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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: 84.43
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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=Walmart-the-bag/MysticFusion-13B
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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: 57.29
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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=Walmart-the-bag/MysticFusion-13B
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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: 51.98
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/MysticFusion-13B
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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: 76.01
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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=Walmart-the-bag/MysticFusion-13B
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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: 24.79
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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=Walmart-the-bag/MysticFusion-13B
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name: Open LLM Leaderboard
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---
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# MysticFusion-13B
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YAML:
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```
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models:
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- model: KoboldAI/LLaMA2-13B-Tiefighter
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parameters:
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weight: 0.3
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- model: NeverSleep/Noromaid-13b-v0.1.1
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parameters:
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weight: 0.5
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- model: lmsys/vicuna-13b-v1.5
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parameters:
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weight: 0.2
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merge_method: linear
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dtype: float16
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```
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## Usage:
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This is meant to be story writing and basic instruction. More of story writing.
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## Prompt Template:
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### Alpaca
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```
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### Instruction:
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### Response:
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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_Walmart-the-bag__MysticFusion-13B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |59.31|
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|AI2 Reasoning Challenge (25-Shot)|61.35|
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|HellaSwag (10-Shot) |84.43|
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|MMLU (5-Shot) |57.29|
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|TruthfulQA (0-shot) |51.98|
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|Winogrande (5-shot) |76.01|
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|GSM8k (5-shot) |24.79|
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