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--- |
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language: |
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- en |
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license: unknown |
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tags: |
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- frankenmerge |
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- 103b |
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pipeline_tag: conversational |
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model-index: |
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- name: BigWeave-v15-103b |
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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: 69.71 |
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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=llmixer/BigWeave-v15-103b |
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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: 86.41 |
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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=llmixer/BigWeave-v15-103b |
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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: 71.25 |
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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=llmixer/BigWeave-v15-103b |
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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: 66.1 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v15-103b |
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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: 80.35 |
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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=llmixer/BigWeave-v15-103b |
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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: 56.18 |
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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=llmixer/BigWeave-v15-103b |
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name: Open LLM Leaderboard |
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--- |
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# BigWeave v15 103b |
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|
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600> |
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|
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The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared. |
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|
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# Prompting Format |
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Mistral, Vicuna and Alpaca. |
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|
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# Merge process |
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This is a self-merge of 152334H/miqu-1-70b-sf. By conducting exl2 measurements, we identify the most relevant layers. These layers are then duplicated in pairs to ensure overlaps. |
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|
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Merge configuration: |
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``` |
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slices: |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [0,3] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [1,5] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [3,7] |
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- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [5,9] |
|
- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [7,18] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [16,21] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [19,27] |
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- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [25,30] |
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- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [28,32] |
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- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [30,34] |
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- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [32,36] |
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- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [34,38] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [36,40] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [38,42] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [40,44] |
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- sources: |
|
- model: 152334H/miqu-1-70b-sf |
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layer_range: [42,46] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [44,48] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [46,51] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [49,77] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [75,79] |
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- sources: |
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- model: 152334H/miqu-1-70b-sf |
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layer_range: [77,80] |
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merge_method: passthrough |
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dtype: float16 |
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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_llmixer__BigWeave-v15-103b) |
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|
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.67| |
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|AI2 Reasoning Challenge (25-Shot)|69.71| |
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|HellaSwag (10-Shot) |86.41| |
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|MMLU (5-Shot) |71.25| |
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|TruthfulQA (0-shot) |66.10| |
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|Winogrande (5-shot) |80.35| |
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|GSM8k (5-shot) |56.18| |
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|
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|
