Runtime steering vectors for local models that work with MLX and PyTorch through PTS, with the data behind them.
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Local LLMs
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Runtime steering vectors for local models that work with MLX and PyTorch through PTS, with the data behind them.
Small subsets of agent benchmarks for comparing systems at a fraction of the cost. Each card says how closely it tracks the full benchmark.
Synthetic datasets built with DataInventor: describe the data you want and get training rows back.
Open models that answer yes/no, choice and score questions with probabilities, plus typed-decisions, a public benchmark to compare them.