---
library_name: transformers
tags:
- llama3
datasets:
- PabloSuaLap/Reglamentacion-Extended
---

# Model Card for Model ID

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## Model Details

### Model Description

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- **Developed by:** PabloSuaLap [https://huggingface.co/PabloSuaLap]
- **Model type:** Text Generation
- **Language(s) (NLP):** Multilingual
- **Finetuned from model** Llama 3

### Model Sources

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- **Article:** [https://www.datacamp.com/tutorial/llama3-fine-tuning-locally]

## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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**APA:**

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## Glossary [optional]

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