Implement leaderboard as a benchmark #234
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…but this brings the core idea Signed-off-by: Oleg Silkin <97077423+RobotSail@users.noreply.github.com>
Signed-off-by: Oleg Silkin <97077423+RobotSail@users.noreply.github.com>
Signed-off-by: Oleg Silkin <97077423+RobotSail@users.noreply.github.com>
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Signed-off-by: Oleg Silkin <97077423+RobotSail@users.noreply.github.com>
…ptions for the `simple_evaluate` function Signed-off-by: Oleg Silkin <97077423+RobotSail@users.noreply.github.com>
Signed-off-by: Oleg Silkin <97077423+RobotSail@users.noreply.github.com>
…uctlab-eval[leaderboard] Signed-off-by: Oleg Silkin <97077423+RobotSail@users.noreply.github.com>
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This PR contributes the Open LLM Leaderboard v2 to become an evaluation exposed within instructlab/eval.
In particular, this exposes leaderboard with the ability for users to select a subset of the tasks in leaderboard.
In addition, this benchmark is implemented in a way such that it runs each subtask on the most optimal inference backend for a given task.
Specifically, MCQ-style tasks (GPQA, MUSR, MMLU-Pro, and BBH) are executed directly through regular HF transformers, whereas generative tasks (IFEval and MATH-Hard) get executed through vLLM.