| --- |
| 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. |
|
|
|
|
