Stanford and NVIDIA Release CLM-8B, an Open-Source Contrastive Decision Model

Stanford and NVIDIA Research have released CLM-8B, an open-source Contrastive Language Model that selects actions via embedding matching instead of token-by-token generation. The System 1-style decision model speeds up agent decision-making by up to 13x.

2026-09-26 ~ 2026-09-28 · 3 related posts

• Stanford and NVIDIA's CLM embeds decisions instead of tokens, 13x faster but accuracy drops at scale — Prompt Engineering · 2026-09-26
• Stanford and NVIDIA's CLM picks actions by embedding, skipping generation: 44 ms vs 579 ms — Prompt Engineering · 2026-09-27
• Stanford and Nvidia open-source CLM-8B, a contrastive decision model that runs up to 9x faster than Jev — bendee983 · 2026-09-28