Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev

Contrastive-LM has released CLM-8B, an open System One model that scores candidate actions against a state instead of generating text.

How It Works

CLM-8B adds 2 small projection heads to a frozen Qwen3-8B encoder and trains them with a contrastive InfoNCE objective.

Performance

• In zero-shot tests, it runs up to 9× faster than TypeSafe’s Jev.
• With fine-tuned heads as a verifier, it reaches 81.6% on held-out DeepSWE tasks.
• It reaches 87.6% on held-out Terminal-Bench 2.1 tasks.