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README.md
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/644addfe9279988e0cbc296b/LjJU76dtpJayC1YtSJVqg.png)
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### Intro
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We have released a collection of radlab/pLLama3 models, which we have trained into Polish. The trained version is able to communicate more precisely with the user than the base version of meta-llama/Meta-Llama-3 models. As part of the collection, we provide models in 8B and 70B architecture.
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We make models in the 8B architecture available in two configurations:
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- radlab/pLLama3-8B-creator, a model that gives fairly short, specific answers to user queries;
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- radlab/pLLama3-8B-chat, a model that is a chatty version that reflects the behavior of the original meta-llama/Meta-Llama-3-8B-Instruct model.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/644addfe9279988e0cbc296b/LjJU76dtpJayC1YtSJVqg.png)
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### Intro
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We have released a collection of [radlab/pLLama3](https://huggingface.co/collections/radlab/pllama-models-66bf856a4511077b9f99cfee) models, which we have trained into Polish. The trained version is able to communicate more precisely with the user than the base version of meta-llama/Meta-Llama-3 models. As part of the collection, we provide models in 8B and 70B architecture.
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We make models in the 8B architecture available in two configurations:
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- radlab/pLLama3-8B-creator, a model that gives fairly short, specific answers to user queries;
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- radlab/pLLama3-8B-chat, a model that is a chatty version that reflects the behavior of the original meta-llama/Meta-Llama-3-8B-Instruct model.
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