BAAIBGE Reranker Base
Bge Reranker Base is a text reranking model developed by BAAI, part of the FlagEmbedding project focused on retrieval-augmented LLMs. It specializes in improving document retrieval by reordering candidate passages.
Input
Output
Context
514
Max Output
-
Parameters
278M
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Estimated GPU requirements for BGE Reranker Base
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about BGE Reranker Base
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
BGE Reranker Base advertises a context window of 514 tokens. The figure is the creator's published maximum; a given provider may serve less, and the gateway routes on what each provider actually serves.
Yes. BGE Reranker Base is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
BGE Reranker Base accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for BGE Reranker Base is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; BGE Reranker Base is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 0.6 GB at INT8 for the weights and a default context, from the catalog's 278M parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Oct 7, 2026
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