AsymLoop - Zero-shot - SIQA: leaderboard

AsymLoop (2026): research-trained Dense,Full LoopK2 andAsymLoopK3 at matched effective depth; scale labels follow paper, with1.68B/3B/7B/20Btraining tokens. LM Evaluation Harness Zero-shot downstream accuracy; unrelated public checkpoints are not aliases. Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 12 models tracked.

Top models

#ModelScoreOverall rank
1AsymLoop Study 1B Full Loop K2 Base42.53
2AsymLoop Study 1B AsymLoop K3 Base41.81
3AsymLoop Study 1B Dense Base41.61
4AsymLoop Study 350M AsymLoop K3 Base39.2
5AsymLoop Study 350M Dense Base39.15
6AsymLoop Study 350M Full Loop K2 Base39.05
7AsymLoop Study 135M Full Loop K2 Base38.69
8AsymLoop Study 135M AsymLoop K3 Base38.38
9AsymLoop Study 135M Dense Base37.41
10AsymLoop Study 60M Full Loop K2 Base37

Interactive version: theaggregate.ai/benchmark?slug=asymloop-zero-shot-siqa · How It Works · Data refreshed daily, snapshot 2026-10-22.