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Adding the Open Portuguese LLM Leaderboard Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard

The purpose of this PR is to add evaluation results from the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard) to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard/discussions

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  1. README.md +168 -2
README.md CHANGED
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  ---
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- license: apache-2.0
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  language:
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  - de
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  - en
@@ -10,8 +9,156 @@ language:
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  - ru
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  - ar
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  - es
 
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  tags:
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  - spectrum
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ![SauerkrautLM-Nemo-12b-Instruct]( https://vago-solutions.ai/wp-content/uploads/2024/07/Sauerkraut-Nemo.png "SauerkrautLM-Nemo-12b-Instruct")
@@ -99,4 +246,23 @@ If you are interested in customized LLMs for business applications, please get i
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  We are also keenly seeking support and investment for our startup, VAGO solutions where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.ai)
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  ## Acknowledgement
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- Many thanks to [Mistral AI](https://huggingface.co/mistralai) for providing such a valuable model to the Open-Source community.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  language:
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  - de
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  - en
 
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  - ru
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  - ar
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  - es
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+ license: apache-2.0
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  tags:
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  - spectrum
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+ model-index:
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+ - name: SauerkrautLM-Nemo-12b-Instruct
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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: ENEM Challenge (No Images)
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+ type: eduagarcia/enem_challenge
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+ split: train
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc
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+ value: 70.05
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: BLUEX (No Images)
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+ type: eduagarcia-temp/BLUEX_without_images
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+ split: train
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc
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+ value: 58.41
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: OAB Exams
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+ type: eduagarcia/oab_exams
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+ split: train
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc
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+ value: 52.53
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: Assin2 RTE
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+ type: assin2
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+ split: test
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+ args:
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+ num_few_shot: 15
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+ metrics:
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+ - type: f1_macro
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+ value: 92.65
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+ name: f1-macro
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: Assin2 STS
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+ type: eduagarcia/portuguese_benchmark
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+ split: test
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+ args:
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+ num_few_shot: 15
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+ metrics:
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+ - type: pearson
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+ value: 75.99
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+ name: pearson
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: FaQuAD NLI
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+ type: ruanchaves/faquad-nli
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+ split: test
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+ args:
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+ num_few_shot: 15
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+ metrics:
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+ - type: f1_macro
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+ value: 83.18
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+ name: f1-macro
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: HateBR Binary
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+ type: ruanchaves/hatebr
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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: f1_macro
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+ value: 81.98
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+ name: f1-macro
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: PT Hate Speech Binary
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+ type: hate_speech_portuguese
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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: f1_macro
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+ value: 75.67
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+ name: f1-macro
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese 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: tweetSentBR
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+ type: eduagarcia/tweetsentbr_fewshot
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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: f1_macro
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+ value: 72.31
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+ name: f1-macro
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+ source:
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+ url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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+ name: Open Portuguese LLM Leaderboard
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  ---
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  ![SauerkrautLM-Nemo-12b-Instruct]( https://vago-solutions.ai/wp-content/uploads/2024/07/Sauerkraut-Nemo.png "SauerkrautLM-Nemo-12b-Instruct")
 
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  We are also keenly seeking support and investment for our startup, VAGO solutions where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.ai)
247
 
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  ## Acknowledgement
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+ Many thanks to [Mistral AI](https://huggingface.co/mistralai) for providing such a valuable model to the Open-Source community.
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+
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+
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+ # Open Portuguese LLM Leaderboard Evaluation Results
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+
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+ Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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+
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+ | Metric | Value |
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+ |--------------------------|---------|
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+ |Average |**73.64**|
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+ |ENEM Challenge (No Images)| 70.05|
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+ |BLUEX (No Images) | 58.41|
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+ |OAB Exams | 52.53|
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+ |Assin2 RTE | 92.65|
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+ |Assin2 STS | 75.99|
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+ |FaQuAD NLI | 83.18|
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+ |HateBR Binary | 81.98|
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+ |PT Hate Speech Binary | 75.67|
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+ |tweetSentBR | 72.31|
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+