NuExtract Tiny
NuExtract Tiny has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- NuExtract
- Released
- 2023-11-30
- Parameters
- 500M
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
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.
NuExtract Tiny is a model in the NuExtract family. No headline benchmark score is tracked for NuExtract Tiny yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.