Tasks and inputs
qilowoq/bge-reranker-v2-m3-en-ru is listed for Text ranking. It accepts text and produces score. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Text ranking.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
qilowoq/bge-reranker-v2-m3-en-ru is a Hugging Face repository returned by the public Text ranking task feed. Its recorded download count is 64,228 and it has 15 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Text ranking. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists sentence-transformers as its library metadata. Its recorded tags include sentence-transformers, safetensors, xlm-roberta, text-classification, transformers, text-embeddings-inference, text-ranking, en. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Evaluate the reranker on the candidates your first-stage retriever actually returns. Compare nDCG, relevant results near the top, batch throughput and tail latency; a reranker cannot recover documents the retriever never supplied.
Explore qilowoq models and the text ranking collection. Use the comparison tool to inspect a second candidate.
Compare the model on the work you need to complete.
qilowoq/bge-reranker-v2-m3-en-ru is listed for Text ranking. It accepts text and produces score. Use the publisher’s input format and preprocessing for your chosen deployment.
Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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Hugging Face repository for Text ranking.
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Hugging Face repository for Text ranking.