leaderboard-pr-bot
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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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@@ -4,10 +4,10 @@ language:
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license: other
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tags:
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- uncensored
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datasets:
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- ehartford/wizard_vicuna_70k_unfiltered
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model_name: Wizard Vicuna 30B Uncensored
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base_model: ehartford/Wizard-Vicuna-30B-Uncensored
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inference: false
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model_creator: Eric Hartford
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model_type: llama
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'
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quantized_by: TheBloke
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---
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<!-- header start -->
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@@ -321,3 +424,17 @@ You are responsible for anything you do with the model, just as you are responsi
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Publishing anything this model generates is the same as publishing it yourself.
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You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.
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license: other
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tags:
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- uncensored
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+
base_model: ehartford/Wizard-Vicuna-30B-Uncensored
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datasets:
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- ehartford/wizard_vicuna_70k_unfiltered
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model_name: Wizard Vicuna 30B Uncensored
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inference: false
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model_creator: Eric Hartford
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model_type: llama
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'
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quantized_by: TheBloke
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model-index:
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- name: Wizard-Vicuna-30B-Uncensored-GPTQ
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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: 61.09
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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=TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ
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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: 82.4
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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=TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ
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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: 56.46
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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=TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ
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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: 49.9
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ
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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: 77.66
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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=TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ
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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: 23.28
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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=TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ
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name: Open LLM Leaderboard
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---
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<!-- header start -->
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Publishing anything this model generates is the same as publishing it yourself.
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You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.
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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_TheBloke__Wizard-Vicuna-30B-Uncensored-GPTQ)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |58.47|
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|AI2 Reasoning Challenge (25-Shot)|61.09|
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|HellaSwag (10-Shot) |82.40|
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|MMLU (5-Shot) |56.46|
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|TruthfulQA (0-shot) |49.90|
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|Winogrande (5-shot) |77.66|
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|GSM8k (5-shot) |23.28|
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