CLM-8B hits SOTA 81.6% on DeepSWE with light finetuning, up to 9x faster inference
anshulkundaje · x · 2026-09-24
A team introduces Contrastive Language Models (CLMs), a System 1 model trained with a contrastive objective that connects states and actions.
- CLM-8B, pre-trained on internet-scale data, matches Jev's zero-shot performance on computer-use, gaming, and tool-calling while running up to 9x faster
- With lightweight finetuning it sets new SOTA on agentic coding benchmarks: DeepSWE 81.6% and Terminal-Bench 2.1 87.6%; Jev fails as an effective verifier on these long-horizon tasks
- Training and serving infra disaggregates states and actions for efficiency
The checkpoint, data, and infra are released today.
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