Text Generation
Transformers
PyTorch
English
llama
Merge
slerp
text-generation-inference
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  ---
 
 
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  license: mit
 
 
 
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  datasets:
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  - Open-Orca/OpenOrca
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  - conceptofmind/cot_submix_original
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  - conceptofmind/niv2_submix_original
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  - conceptofmind/flan2021_submix_original
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  - ehartford/dolphin
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- language:
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- - en
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- tags:
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- - merge
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- - slerp
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- inference: false
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  metrics:
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  - accuracy
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  - bleu
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <h1 style="text-align: center">Dorflan</h1>
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  <h2 style="text-align: center">An experimental model</h2>
@@ -80,3 +183,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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  | Winogrande (5-shot) | 72.61 |
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  | GSM8K (5-shot) | 0.38 |
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  | DROP (3-shot) | 26.37 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: mit
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+ tags:
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+ - merge
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+ - slerp
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  datasets:
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  - Open-Orca/OpenOrca
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  - conceptofmind/cot_submix_original
 
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  - conceptofmind/niv2_submix_original
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  - conceptofmind/flan2021_submix_original
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  - ehartford/dolphin
 
 
 
 
 
 
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  metrics:
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  - accuracy
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  - bleu
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+ inference: false
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+ model-index:
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+ - name: Dorflan
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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: 54.44
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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=formulae/Dorflan
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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: 75.78
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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=formulae/Dorflan
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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: 51.36
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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=formulae/Dorflan
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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: 51.17
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=formulae/Dorflan
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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: 72.61
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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=formulae/Dorflan
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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: 0.38
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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=formulae/Dorflan
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+ name: Open LLM Leaderboard
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  ---
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  <h1 style="text-align: center">Dorflan</h1>
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  <h2 style="text-align: center">An experimental model</h2>
 
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  | Winogrande (5-shot) | 72.61 |
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  | GSM8K (5-shot) | 0.38 |
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  | DROP (3-shot) | 26.37 |
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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_formulae__Dorflan)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |50.96|
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+ |AI2 Reasoning Challenge (25-Shot)|54.44|
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+ |HellaSwag (10-Shot) |75.78|
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+ |MMLU (5-Shot) |51.36|
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+ |TruthfulQA (0-shot) |51.17|
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+ |Winogrande (5-shot) |72.61|
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+ |GSM8k (5-shot) | 0.38|
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+