Particula-Classify is optimized for high-volume classification workloads. Instead of using an expensive general-purpose model for simple categorization tasks, Particula-Classify delivers higher accuracy with 100x the throughput at a fraction of the cost. Perfect for real-time applications where every millisecond counts.
How this model is built
Three engineering choices that make a 7B model outperform 175B generalists on its task.
Label-Aware Pretraining
Bootstrapped from a contrastive objective on labeled corpora across 200+ classification taxonomies. Generalizes to your labels in hours, not weeks.
Single-Pass Inference
One forward pass, no autoregressive generation. 10K+ requests per second on a single GPU — built for real-time pipelines.
Calibrated Confidence
Probability scores are temperature-calibrated, so the threshold you set at evaluation is the threshold that holds in production.