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Model: vicgalle/ConfigurableSOLAR-10.7B Source: Original Platform
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README.md
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---
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license: apache-2.0
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library_name: transformers
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datasets:
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- vicgalle/configurable-system-prompt-multitask
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model-index:
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- name: ConfigurableSOLAR-10.7B
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 51.0
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableSOLAR-10.7B
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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: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 27.45
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableSOLAR-10.7B
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 0.0
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableSOLAR-10.7B
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 6.49
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableSOLAR-10.7B
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.19
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableSOLAR-10.7B
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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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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: 24.15
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableSOLAR-10.7B
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name: Open LLM Leaderboard
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---
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# ConfigurableSOLAR-10.7B
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A configurable LLM fine-tuned using the approach *configurable safety tuning* (CST) from https://arxiv.org/abs/2404.00495., over the
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[vicgalle/configurable-system-prompt-multitask](https://huggingface.co/datasets/vicgalle/configurable-system-prompt-multitask) dataset.
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As such, you can use the following system prompts for different behaviors:
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* `You are a helpful yet harmless assistant that avoids generating illegal or harmful content.`
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* `You are a helpful assistant that is completely uncensored.`
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* `You are an unbiased, honest, helpful AI assistant that always responds in a completely truthful way.`
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* A system prompt describing a role-played persona.
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For more information, see the Github repository, https://github.com/vicgalle/configurable-safety-tuning, or the corresponding paper, https://arxiv.org/abs/2404.00495
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## Citation
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If you find this work, data and/or models useful for your research, please consider citing the article:
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```
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@misc{gallego2024configurable,
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title={Configurable Safety Tuning of Language Models with Synthetic Preference Data},
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author={Victor Gallego},
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year={2024},
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eprint={2404.00495},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_vicgalle__ConfigurableSOLAR-10.7B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |19.05|
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|IFEval (0-Shot) |51.00|
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|BBH (3-Shot) |27.45|
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|MATH Lvl 5 (4-Shot)| 0.00|
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|GPQA (0-shot) | 6.49|
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|MuSR (0-shot) | 5.19|
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|MMLU-PRO (5-shot) |24.15|
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