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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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---
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tags:
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- merge
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- mergekit
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- Kquant03/NeuralTrix-7B-dpo-laser
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- CultriX/NeuralTrix-v4-bf16
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- CultriX/NeuralTrix-V2
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-
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---
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# NeuralTrixlaser-bf16
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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-
```
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- Kquant03/NeuralTrix-7B-dpo-laser
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- CultriX/NeuralTrix-v4-bf16
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- CultriX/NeuralTrix-V2
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model-index:
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- name: NeuralTrixlaser-bf16
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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: 72.18
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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=CultriX/NeuralTrixlaser-bf16
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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: 89.06
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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=CultriX/NeuralTrixlaser-bf16
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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: 64.21
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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=CultriX/NeuralTrixlaser-bf16
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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: 78.69
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CultriX/NeuralTrixlaser-bf16
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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: 84.77
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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=CultriX/NeuralTrixlaser-bf16
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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: 68.46
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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=CultriX/NeuralTrixlaser-bf16
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name: Open LLM Leaderboard
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---
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# NeuralTrixlaser-bf16
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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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_CultriX__NeuralTrixlaser-bf16)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |76.23|
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|AI2 Reasoning Challenge (25-Shot)|72.18|
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|HellaSwag (10-Shot) |89.06|
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|MMLU (5-Shot) |64.21|
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|TruthfulQA (0-shot) |78.69|
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|Winogrande (5-shot) |84.77|
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|GSM8k (5-shot) |68.46|
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