Speeding Up JSON Extraction with Tiny LLMs: A Breakthrough!
Analysis
This project showcases impressive performance gains using small, open source Large Language Models (LLMs) for a practical text extraction task. The incredibly low latency and high throughput demonstrate the potential of these models for real-world applications. The innovative post-processing technique for proper nouns is a clever solution that further enhances accuracy.
Key Takeaways
- •Achieved impressive speed and efficiency extracting data into JSON format using a 3B parameter LLM.
- •Achieved less than 500ms latency and 30 RPM throughput on an L4 GPU.
- •Data quality and post-processing steps (like Levenshtein distance) significantly improved accuracy, especially with proper nouns.
Reference / Citation
View Original"If I had to redo it, I would spend much more time cleaning and validating the dataset upfront."
R
r/LocalLLaMAJan 25, 2026 09:40
* Cited for critical analysis under Article 32.