Bge Base Zh V1.5 is an open-source Chinese text embedding model developed by BAAI, designed to map text to dense vectors for retrieval, classification, clustering, and semantic search. It is part of the BGE (BAAI General Embedding) family and was updated to version 1.5 to improve retrieval ability without instruction and address similarity distribution issues.
Input
Output
Context
512
Max Output
n/a
Parameters
-
Input Modalities
Output Modalities
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The creator's other models in the catalog, with their context, size and license where published.
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Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
BGE Base Zh V1.5 advertises a context window of 512 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 Base Zh V1.5 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 Base Zh V1.5 accepts Text and produces Embedding. 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 Base Zh V1.5 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 Base Zh V1.5 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.
BAAI has not published a parameter count for BGE Base Zh V1.5, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 4, 2026
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