| --- |
| base_model: unsloth/phi-4-unsloth-bnb-4bit |
| tags: |
| - text-generation-inference |
| - transformers |
| - unsloth |
| - phi-4 |
| - information-extraction |
| license: apache-2.0 |
| language: |
| - en |
| pipeline_tag: feature-extraction |
| --- |
| |
| # Phi-4 Finetuned for Business Asset Extraction |
|
|
| - **Developed by:** RahulPi |
| - **License:** apache-2.0 |
| - **Finetuned from model:** unsloth/phi-4-unsloth-bnb-4bit |
| - **Primary Task:** Information Extraction / Structured Output Generation |
|
|
| ## Model Description |
| This model has been specifically fine-tuned to automate business workflows by processing unstructured email communications. It is designed to read through incoming business emails, identify key business assets mentioned within the text, and reliably convert that information into a clean, structured format for downstream use. |
|
|
| ## Dataset |
| The model was trained on a **custom dataset** built for a specific business case scenario: |
| - **Input:** Unstructured, natural language text mimicking standard business emails containing asset details. |
| - **Output:** A structured format mapping out the identified business assets for easy database entry and automation. |
|
|
| ## Training Details |
| This model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library. |
|
|
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
