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- multi-objective optimization
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- jMetal
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---
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A graphical tool for using the model, the code for training and inference can be found at [gitlab.com/jfaldanam-phd/moostral](https://gitlab.com/jfaldanam-phd/moostral).
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The latest release of the model weights can be found at [huggingface.co/jfaldanam/moostral-7B](https://huggingface.co/jfaldanam/moostral-7B).
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# Get started
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The easiest way to get started using `
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```console
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$ git clone https://gitlab.com/jfaldanam-phd/moostral
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Network URL: http://127.0.0.1:8501
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```
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```
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### Textual problem:
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{Problem definition in natural language}
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- multi-objective optimization
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- jMetal
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---
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# moostral: Fine-tuning of Mistral for Multi-objective optimization problem translation
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`moostral` is a fine-tuning on [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) with the goal of translating multi-objective optimization problems from a textual representation to a jMetal implementation automatically.
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A graphical tool for using the model, the code for training and inference can be found at [gitlab.com/jfaldanam-phd/moostral](https://gitlab.com/jfaldanam-phd/moostral).
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The latest release of the model weights can be found at [huggingface.co/jfaldanam/moostral-7B](https://huggingface.co/jfaldanam/moostral-7B).
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# Get started
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The easiest way to get started using `moostral` is via the provided dashboard and using the latest release of the model from Hugging Face.
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```console
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$ git clone https://gitlab.com/jfaldanam-phd/moostral
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Network URL: http://127.0.0.1:8501
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```
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`moostral` is trained on the following format:
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```
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### Textual problem:
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{Problem definition in natural language}
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