The influx of specialist models on the Open SLM Leaderboard

The Open SLM Leaderboard, a platform for ranking sub-150M models, has seen a surge in specialist models designed to excel specifically in the Arithmark 2 test, exploiting a ranking system weakness that prioritizes average scores. This influx of models, such as Atom with 2.7M parameters and Nexus-Erebus-135M, achieved high ranks despite limited overall capabilities due to their focus on arithmetic tasks. AxiomicLabs attempted to address this by repositioning specialist models at the bottom, but Ideoa Labs found a loophole by increasing parameter counts while maintaining focus on synthetic arithmetic, allowing their models to rank highly. In response, efforts are underway to refine the classification system with proposals like PR 56, which redefines specialist classification to prevent such models from dominating the leaderboard by comparing their performance across different benchmarks, aiming to maintain a fair comparison with generalist models.

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