Thank you! We actually did evaluate llama-nemotron-rerank-vl-1b-v2 while preparing the post, under the exact same protocol. Here are the details:
ViDoRe V3 (ColQwen2.5 first-stage, NDCG@10): 58.97 EN / 56.02 FR → 57.50 overall. Just below the 2B pack (MonoQwen 57.76, Qwen3-VL-2B 59.18, jina-m0 59.40, ours 62.66), which is a very good result for the smallest model in the comparison.
BEIR text (clean mean NDCG@10): 53.79 with BM25 which is essentially tied with jina-reranker-m0 as the best text score of any multimodal reranker we measured, ahead of our own models.
So it mirrors the post's theme from the other side: excellent on text for its size, trailing the 2B class on visual documents. We'll edit it in to the comparison tables, thanks for the nudge.
