131 lines
3.8 KiB
Markdown
131 lines
3.8 KiB
Markdown
---
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license: apache-2.0
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model-index:
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- name: SOLAR-10.7B-Instruct-v1.0-uncensored
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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: 38.84
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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=w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored
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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: 33.86
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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=w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored
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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: 0.23
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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=w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored
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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: 5.93
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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=w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored
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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: 18.49
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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=w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored
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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: 26.04
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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=w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored
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name: Open LLM Leaderboard
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---
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# SOLAR-10.7B-Instruct-v1.0-uncensored
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SOLAR-10.7B-Instruct-v1.0 finetuned to be less censored. Refer to [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0) for model info and usage instructions.
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## Training details
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This model was trained using Lora and DPOTrainer on [unalignment/toxic-dpo-v0.1](https://huggingface.co/datasets/unalignment/toxic-dpo-v0.1)
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## How to Cite
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```
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@misc{solarUncensoredDPO,
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title={solar-10.7b-instruct-V1.0-uncensored},
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url={https://huggingface.co/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored},
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author={Stepan Zuev},
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year={2023},
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month={Dec}
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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_w4r10ck__SOLAR-10.7B-Instruct-v1.0-uncensored)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |20.56|
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|IFEval (0-Shot) |38.84|
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|BBH (3-Shot) |33.86|
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|MATH Lvl 5 (4-Shot)| 0.23|
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|GPQA (0-shot) | 5.93|
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|MuSR (0-shot) |18.49|
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|MMLU-PRO (5-shot) |26.04|
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