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@@ -20,6 +20,7 @@ Doc2Bit-VL-7B is a vision-language model fine-tuned for document understanding.
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  A Vision-Language Model (VLM) specialized in **document understanding and information extraction**, supporting both **unstructured information** and **structured data (tables)** from document images.
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  This model is optimized for production usage via **vLLM serving** with an **OpenAI-compatible API**.
 
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  ---
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  ## ๐Ÿš€ Features
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  - Vision-Language Model for document images
@@ -32,6 +33,7 @@ This model is optimized for production usage via **vLLM serving** with an **Open
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  ---
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  ## ๐Ÿ“Œ Supported Data Types
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  ### 1. Unstructured Information
 
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  Extract specific fields defined by the user, such as:
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  - Invoice number
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  - Date
@@ -41,6 +43,7 @@ Extract specific fields defined by the user, such as:
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  - Custom document attributes
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  ---
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  ### 2. Structured Table Data
 
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  Designed for extracting **individual columns** from tables, especially product tables.
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  Capabilities:
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  - Column-level extraction
 
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  A Vision-Language Model (VLM) specialized in **document understanding and information extraction**, supporting both **unstructured information** and **structured data (tables)** from document images.
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  This model is optimized for production usage via **vLLM serving** with an **OpenAI-compatible API**.
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+
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  ---
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  ## ๐Ÿš€ Features
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  - Vision-Language Model for document images
 
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  ---
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  ## ๐Ÿ“Œ Supported Data Types
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  ### 1. Unstructured Information
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+
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  Extract specific fields defined by the user, such as:
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  - Invoice number
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  - Date
 
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  - Custom document attributes
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  ---
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  ### 2. Structured Table Data
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+
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  Designed for extracting **individual columns** from tables, especially product tables.
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  Capabilities:
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  - Column-level extraction