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This model was converted to GGUF format from [`rhaymison/Mistral-portuguese-luana-7b`](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b) for more details on the model.
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## Use with Samantha Interface Assistant
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Github project: https://github.com/controlecidadao/samantha_ia/blob/main/README.md
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## Video: Intelligence Challenge - Microsoft Phi 3.5 vs Google Gemma 2
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https://www.youtube.com/watch?v=KgicCGMSygU
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## 👟 Testing a Model in 5 Steps with Samantha
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5) Insert a prompt into _User prompt_ field and press `Enter`. Keep the `$$$` sign at the end of your prompt. The model will be downloaded and the response will be generated using the default deterministic settings. You can track this process via Windows Task Management.
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Every new model downloaded via this copy and paste procedure will replace the previous one to save hard drive space. Model download is saved as `MODEL_FOR_TESTING.gguf` in your _Downloads_ folder.
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You can also download the model and save it permanently to your computer. For more datails, visit Samantha's project on Github.
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This model was converted to GGUF format from [`rhaymison/Mistral-portuguese-luana-7b`](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b) for more details on the model.
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## ✨ Use with Samantha Interface Assistant
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Github project: https://github.com/controlecidadao/samantha_ia/blob/main/README.md
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## 📺 Video: Intelligence Challenge - Microsoft Phi 3.5 vs Google Gemma 2
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https://www.youtube.com/watch?v=KgicCGMSygU
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## 👟 Testing a Model in 5 Steps with Samantha
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5) Insert a prompt into _User prompt_ field and press `Enter`. Keep the `$$$` sign at the end of your prompt. The model will be downloaded and the response will be generated using the default deterministic settings. You can track this process via Windows Task Management.
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Every new model downloaded via this copy and paste procedure will replace the previous one to save hard drive space. Model download is saved as `MODEL_FOR_TESTING.gguf` in your _Downloads_ folder.
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You can also download the model and save it permanently to your computer. For more datails, visit Samantha's project on Github.
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