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--- |
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base_model: unsloth/meta-llama-3.1-8b-bnb-4bit |
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library_name: peft |
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--- |
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# Compass Model - Fine-Tuned for Marketing Campaign Generation |
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## Overview |
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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. |
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## Model Details |
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### Model Description |
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- **Developed by:** [Rafael Montañez] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** Fine-tuned Language Model |
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- **Language(s) (NLP):** English |
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- **License:** [MIT] |
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- **Finetuned from model [optional]:** Llama 3.1 405B |
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## Uses |
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### Direct Use |
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The Compass Model is ideal for directly generating marketing content, including social media posts, email marketing material, product launch strategies, and more. |
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### Downstream Use |
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This model can be further fine-tuned for specific marketing domains or integrated into AI-driven marketing automation systems. |
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### Out-of-Scope Use |
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The model may not perform optimally if used outside of the marketing context or for domains not covered during fine-tuning. |
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## Bias, Risks, and Limitations |
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- The model was trained on a limited dataset, potentially leading to suboptimal performance in industries or objectives not represented in the training data. |
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- Risks include the possibility of generating biased or unbalanced marketing strategies due to biases present in the training data. |
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### Recommendations |
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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. |
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