---
base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
library_name: peft
---

# Compass Model - Fine-Tuned for Marketing Campaign Generation

## Overview

The **Compass Model** is a specialized language model fine-tuned to generate high-quality, targeted marketing campaigns across various industries and objectives. This model was developed using the **Llama 3.1 405B** base model and fine-tuned on a custom dataset containing **687** carefully curated marketing campaigns. The fine-tuning process leveraged the powerful **Llama 3.1 8B** model using **Unsloth** techniques to optimize performance for marketing-related tasks.

## Model Details

### Model Description

- **Developed by:** [Rafael Montañez]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** Fine-tuned Language Model
- **Language(s) (NLP):** English
- **License:** [MIT]
- **Finetuned from model [optional]:** Llama 3.1 405B



## Uses

### Direct Use

The Compass Model is ideal for directly generating marketing content, including social media posts, email marketing material, product launch strategies, and more.

### Downstream Use

This model can be further fine-tuned for specific marketing domains or integrated into AI-driven marketing automation systems.

### Out-of-Scope Use

The model may not perform optimally if used outside of the marketing context or for domains not covered during fine-tuning.

## Bias, Risks, and Limitations

- The model was trained on a limited dataset, potentially leading to suboptimal performance in industries or objectives not represented in the training data.
- Risks include the possibility of generating biased or unbalanced marketing strategies due to biases present in the training data.

### Recommendations

Users should carefully review the model's outputs, especially in sensitive or high-impact marketing scenarios, to mitigate potential biases and ensure the relevance of generated content.