Repo · Benchmarks & research
CLM (Contrastive Language Models)
Independent open System One model (CLM-8B: Qwen3-8B embeddings plus a small contrastive state/action head) served behind a TypeSafe-compatible POST…
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Contrastive Language Models (CLMs) are a new class of System One model trained with a contrastive learning objective that connects states and actions.
How builders describe it
Independent open System One model (CLM-8B: Qwen3-8B embeddings plus a small contrastive state/action head) served behind a TypeSafe-compatible POST /v1/systemone, so Jev-style requests replay unchanged; not affiliated with TypeSafe.
Contrastive-language-model decision service exposing CLM-8B over a TypeSafe-compatible API: typed Choice, Score and Noul answers plus candidate ranking, with state and action embeddings cached separately so repeat candidates cost one dot product.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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