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- # Uploaded finetuned model
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- - **Developed by:** Daemontatox
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- - **License:** apache-2.0
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- - **Finetuned from model :** unsloth/Llama-3.2-11B-Vision-Instruct
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- This mllama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
 
 
 
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+ # Vision-Language Model for Document Data Extraction
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+ - **Developed by:** Daemontatox
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+ - **License:** apache-2.0
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+ - **Finetuned from model:** unsloth/Llama-3.2-11B-Vision-Instruct
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+ This Vision-Language Model (VLM) is fine-tuned for extracting structured data from diverse document types such as invoices, timesheets, and forms. Leveraging the capabilities of [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library, the model achieves fast and efficient training with superior accuracy for document understanding tasks.
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+ ### Features:
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+ - Extracts structured JSON data from images of documents.
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+ - Handles diverse formats, including invoices, timesheets, and forms.
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+ - Optimized for semantic accuracy in key fields such as dates, amounts, and itemized details.
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+ This fine-tuned model was trained twice as fast using Unsloth’s advanced optimization techniques, ensuring high performance with reduced computational overhead.
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+ [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)