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NuExtract Tiny

About

NuExtract Tiny is a fine-tuned version of the Qwen1.5-0.5 model, designed to efficiently extract structured information from text. It excels in transforming unstructured data into formats like JSON, making it ideal for extracting entities, dates, and key data points across various fields such as business, healthcare, and law. The model supports zero-shot and few-shot learning, allowing it to perform tasks without extensive training. With a token limit of 2000, it is optimized for shorter inputs, and its lightweight design ensures fast performance. Available as an open-source tool, it offers developers flexibility in tailoring output to specific needs.

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode Execution

Rankings

Specifications

FamilyNuExtract
Released2023-11-30
Parameters500M
ArchitectureDecoder Only
Specializationgeneral
Trainingfinetuning

Created by

Innovative AI-driven NLP model creator

Paris, France
Founded 2022
Website