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@@ -163,7 +163,7 @@ model-index:
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  # Mistral-8x7b-portuguese-luana
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  <p align="center">
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- <img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/luana8x7.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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  </p>
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@@ -184,8 +184,8 @@ Important points like these help models (even smaller models like 7b) to perform
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  !pip install -q -U bitsandbytes
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  from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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- model = AutoModelForCausalLM.from_pretrained("rhaymison/Mistral-8x7b-portuguese-luana", device_map= {"": 0})
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- tokenizer = AutoTokenizer.from_pretrained("rhaymison/Mistral-8x7b-portuguese-luana")
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  model.eval()
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  ```
@@ -251,21 +251,6 @@ incluindo a intimação pessoal de seus membros, a contagem em dobro dos prazos
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  * Luana: Foi um prazer ajudar! Se você tiver outras dúvidas ou necessitar de mais informações, não hesite em perguntar. Tenha um bom dia!
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- ### Comments
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-
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- Any idea, help or report will always be welcome.
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- <div style="display:flex; flex-direction:row; justify-content:left">
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- <a href="https://www.linkedin.com/in/heleno-betini-2b3016175/" target="_blank">
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- <img src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white">
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- </a>
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- <a href="https://github.com/rhaymisonbetini" target="_blank">
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- <img src="https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white">
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- </a>
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- </div>
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-
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  # Open Portuguese LLM Leaderboard Evaluation Results
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@@ -284,3 +269,19 @@ Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-
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  |PT Hate Speech Binary | 73.01|
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  |tweetSentBR | 50.90|
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  # Mistral-8x7b-portuguese-luana
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  <p align="center">
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+ <img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/24.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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  </p>
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  !pip install -q -U bitsandbytes
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  from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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+ model = AutoModelForCausalLM.from_pretrained("rhaymison/Mistral-24b-portuguese-luana", device_map= {"": 0})
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+ tokenizer = AutoTokenizer.from_pretrained("rhaymison/Mistral-24b-portuguese-luana")
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  model.eval()
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  ```
 
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  * Luana: Foi um prazer ajudar! Se você tiver outras dúvidas ou necessitar de mais informações, não hesite em perguntar. Tenha um bom dia!
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  # Open Portuguese LLM Leaderboard Evaluation Results
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  |PT Hate Speech Binary | 73.01|
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  |tweetSentBR | 50.90|
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+ ### Comments
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+
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+ Any idea, help or report will always be welcome.
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+
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+ <div style="display:flex; flex-direction:row; justify-content:left">
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+ <a href="https://www.linkedin.com/in/heleno-betini-2b3016175/" target="_blank">
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+ <img src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white">
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+ </a>
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+ <a href="https://github.com/rhaymisonbetini" target="_blank">
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+ <img src="https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white">
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+ </a>
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+ </div>
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+