davanstrien/index-card-extractor-schemavar
VISIONConcurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The davanstrien/index-card-extractor-schemavar is a 4.5 billion parameter Qwen3.5 model, fine-tuned by davanstrien, designed for efficient information extraction. This model was trained using Unsloth and Huggingface's TRL library, achieving faster training times. It specializes in extracting structured information, making it suitable for tasks requiring precise data retrieval from text.
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Model Overview
The davanstrien/index-card-extractor-schemavar is a 4.5 billion parameter model, fine-tuned by davanstrien, based on the Qwen3.5 architecture. It was developed with a focus on efficient training, utilizing the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training process.
Key Capabilities
- Information Extraction: The model is specifically fine-tuned for extracting structured information, likely from text that resembles index cards or similar data formats.
- Efficient Training: Benefits from optimized training techniques provided by Unsloth, leading to faster development cycles.
Good For
- Structured Data Retrieval: Ideal for applications requiring the extraction of specific data points or entities from unstructured or semi-structured text.
- Automated Indexing: Can be used to automate the process of creating index cards or similar structured records from larger text bodies.
- Research and Archival: Potentially useful in academic or archival contexts for digitizing and structuring information from historical documents or research notes.