Reason ModernColBERT Reason ModernColBERT is a late interaction model trained on the reasonir hq dataset. It achieves extremely competitive performance on the BRIGHT benchmark aimed at evaluating reasoning intensive retrieval performance, outperforming all existing models up to 7B (more than 45 times its size) and even surprisingly improving performance of ReasonIR 8B (a 8B model trained on the same data) by more than 2.5 NDCG@10 on average on Stack Exchange splits. We attribute such strong results to late interaction, see evaluation section. License Unfortunately, since the ReasonIR data has been released under a cc by nc 4.0 license, we cannot release this model under an Apache 2.0 license. However, the authors of ReasonIR released code to generate the data. Anyone willing to reproduce the data could then easily reproduce this model under an Apache 2.0 license by running a fine tuning lasting lower than 2 hours using this boilerplate. PyLate model based on lightonai/GTE ModernColBERT v1 This is a PyLate model finetuned from lightonai/GTE ModernColBERT v1 on the reasonir hq dataset. It maps sentences & paragraphs to sequences of 128 dimensional dense vectors and can be used for se…
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