So /goal is awesome

Over the past few weeks I used @PrimeIntellect to train a 149M late interaction model based on GTE-ModernColBERT-v1 using PyLate, focused on clause extraction from legal contracts.

On the MLEB benchmark it does well for its size: it's the best accuracy-per-parameter open model on the task, 3rd of 17 open-source models, ahead of Google's EmbeddingGemma (308M, 0.829) and the same-size legal peer Free Law ModernBERT (0.764), behind only Qwen3-Embedding-4B/8B (which are 27–53× larger).

The agents love the prime cli. I only used the UI for paying my bill.