Bespoke Labs repo-specialized post-training lifts Inkling coding by 57pp without losing generality

simonguozirui · x · 2026-09-04

Bespoke Labs (Alex Dimakis et al.) post-trained Inkling on a single GitHub repo using SFT on teacher-model trajectories plus GRPO reinforcement learning in curated repo-specialized environments. SFT alone delivered a 52pp improvement on a held-out fontTools eval; adding RL brought total gains to 57pp over base Inkling. The specialized model also improved on out-of-distribution benchmarks (Terminal-Bench 2.1, SWE-Bench), showing specialization doesn't cost general ability while using fewer tokens per correct answer.

Related event: Bespoke Labs fine-tunes open models into repo-specific coding experts with SFT+GRPO(4 posts)→

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