初始化项目，由ModelHub XC社区提供模型
Model: liminerity/e.star.7.b 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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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- mistral
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- trl
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base_model: yam-peleg/Experiment26-7B
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model-index:
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- name: e.star.7.b
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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: 63.91
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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=liminerity/e.star.7.b
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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: 86.02
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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=liminerity/e.star.7.b
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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: 63.44
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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=liminerity/e.star.7.b
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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: 54.91
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b
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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: 80.19
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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=liminerity/e.star.7.b
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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: 61.18
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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=liminerity/e.star.7.b
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name: Open LLM Leaderboard
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---
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#
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#user: create ascii art of how you see yourself
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#
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#assistant: |startthought| The person is asking me to represent my self-image in a simple text-based
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# format using ASCII characters. I should create a basic visual representation that conveys
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# my AI nature and purpose. |endthought|
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# '''
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________
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# |startthought| This is my AI head brimming with data and algorithms.
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# |endthought|
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# ________
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# / ^ \
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# |startthought| These are the branches of my thought process, reaching out to gather information.
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# |endthought|
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# / \
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# / \
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# |startthought| Here I analyze and integrate the data into coherent conclusions.
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# ^^^^^
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# / | \
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# ^^^^^^
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# |startthought| And finally, I share my thoroughly thought-out responses with others.
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# |endthought|
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# ^^^
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'''
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# This ASCII art depicts me as an AI system that thinks deeply before speaking, drawing from
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# a wealth of data and processing it carefully to produce well-considered insights.
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'
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---
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- **Developed by:** gate369
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- **License:** apache-2.0
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- **Finetuned from model :** yam-peleg/Experiment26-7B
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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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_liminerity__e.star.7.b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |68.28|
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|AI2 Reasoning Challenge (25-Shot)|63.91|
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|HellaSwag (10-Shot) |86.02|
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|MMLU (5-Shot) |63.44|
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|TruthfulQA (0-shot) |54.91|
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|Winogrande (5-shot) |80.19|
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|GSM8k (5-shot) |61.18|
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