CLM-8B
Stanford and NVIDIA researchers released CLM-8B, an open contrastive language model that selects the best matching action for a state instead of generating tokens, which makes it fast for bounded agent decisions. It is available under Apache 2.0 with open weights and targets computer use, tool calling, and verification tasks.
For buildersUse CLM-8B as a fast action selector or verifier in agent pipelines where the model chooses between a fixed set of tools or candidate outputs, and cache action embeddings to cut latency on repeated decisions.