Model reference · open weights
mxbai-rerank-large is an open-weight embedding model from mixedbread-ai, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
🍞 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 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 details, check our technical report and technical blog post. 🎓 Citation If you find our models useful, please consider giving a star and citation arXiv: blog post:
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | mixedbread-ai |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 1.5B |
| Context | 32k tokens |
| Variants | 2 |
| Runs with | transformers |
| Released | 2025-03-03 |
| Popularity | 91k downloads / month |
| Likes | 145 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
Using it via the API
Once AxForge deploys mxbai-rerank-large for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (mxbai-rerank-large below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/embeddings \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"mxbai-rerank-large","input":"text to embed"}'
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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