The crispy rerank family from Mixedbread . 🍞 Looking for a simple end to end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. 🍞 mxbai rerank large v2 (a.k.a ProRank 1.5B) This is the large model in our family of powerful reranker models. You can learn more about the models in our blog post. We have two models: mxbai rerank base v2 mxbai rerank large v2 (🍞) The technical report is coming soon! 🌟 Features state of the art performance and strong efficiency multilingual support (100+ languages, outstanding English and Chinese performance) code support long context support ⚙️ Usage Using Sentence Transformers Install Sentence Transformers: Using mxbai rerank 1. Install mxbai rerank 2. Inference Performance Benchmark Results Model BEIR Avg Multilingual Chinese Code Search Latency (s) mxbai rerank large v2 57.49 29.79 84.16 32.05 0.89 mxbai rerank base v2 55.57 28.56 83.70 31.73 0.67 mxbai rerank large v1 49.32 21.88 72.53 30.72 2.24 Latency measured on A100 GPU Training Details The models were trained using a three step process: 1. GRPO (Guided Reinforcement Prompt Optimization) 2. Contrastive Learning 3. Preference Learning For more deta…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy