Project Greenhouse builds an open agentic search reranker from scratch on a few GPUs

lintool · x · 2026-10-10

Jimmy Lin's group released Project Greenhouse (arXiv:2610.11922), showing a competitive pointwise decoder-only reranker can be pre-trained from scratch (ClimbMix) then fine-tuned (RLHN relevance data) with just a handful of GPUs — no third-party open-weight backbone. They release Gaggle model checkpoints plus data, code and configs for full independent reproduction, arguing fully open, sovereign agentic search models are feasible with modest compute.

Related event: Project Greenhouse Trains Open-Source Search Reranker From Scratch on a Few GPUs(4 posts)→

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