# Paper-Summarizer-Qwen3-14B
A fine-tuned Qwen3-14B model specialized for generating structured summaries of scientific research papers in standardized JSON format.
## Model Description
This model is part of [Project AELLA](https://github.com/context-labs/laion-data-explorer), developed in collaboration with LAION and Wynd Labs to democratize access to scientific knowledge by creating structured summaries of research papers at scale.
**Base Model**: Qwen 3 14B
**Training Data**: 110,000 curated research papers
**Performance**: Achieves 73.9% accuracy on QA evaluation, comparable to GPT-5 (74.6%)
**Cost Efficiency**: 98% lower cost than closed-source alternatives
This generates comprehensive structured summaries in a JSON format. The papers are either classified as SCIENTIFIC_TEXT, PARTIAL_SCIENTIFIC_TEXT, or NON_SCIENTIFIC_TEXT. The fields extracted are key research elements such as methodology, results, claims, and limitations.
The model supports papers up to 131K tokens…
