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Contrastive Language Models is an open-source research framework for fast System One decision models that score actions against states instead of generating long text responses. CLM-8B uses separate state and action encoders trained with contrastive objectives. Candidate embeddings can be cached and reused, reducing latency when actions repeat across requests. The package supports typed yes-or-no, choice, score, and ranking tasks through a TypeSafe-compatible API. It includes inference...