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BGE · Reranking · BGE Reranker v2 M3

BGE Reranker v2 M3: Specs, GPU requirements, hosting & deployment

BGE Reranker v2 M3 is a current Reranking release in the BGE family, certified from its immutable official source revision.

Technical deployment reference illustration for BGE Reranker v2 M3
Reference deployment flow; exact architecture facts are listed separately.
Total parameters568M
Active parametersN/A / Not directly comparable
Context window8,192 tokens
Release statusCurrent · Current
ArchitectureMultilingual reranking transformer
ModalitiesText
LicenseApache License 2.0
Deployment stateDeployable with certified configuration
Commercial stateCommercial Use Allowed
Release date2024-03-15

Architecture, strengths and use cases

BGE Reranker v2 M3 is an official self-hostable BAAI Embedding and reranking release. It uses Multilingual reranking transformer with 0.568B. Exact checkpoint, license, runtime, and hardware evidence is tied to the verified upstream revision.

BGE Reranker v2 M3 uses Multilingual reranking transformer with 0.568B. Pipeline and configuration fields are reported only where the official source publishes them.

Verified Multilingual reranking transformer architecture
Official checkpoint and pipeline evidence
Official BF16, Unknown checkpoint coverage
Self-hosted Embedding and reranking workloads
Controlled model evaluation
Production deployment planning

Certified checkpoints and quantizations

Only exact, source-certified variants attached to this release are shown.

bge-reranker-v2-m3

BAAI/bge-reranker-v2-m3

Official · BF16 · safetensors

Runtime certified: Transformers Sentence-transformers Flagembedding

Precision / quantizationFormatBitsPublisher trustDeployment state
BF16safetensors16OfficialRuntime certified

Recommended hardware

Use only the listed runtime configurations with the exact checkpoint precision. Hardware sizing considers resident pipeline memory, runtime overhead, input and output dimensions, batch size, and safety headroom.

Estimated weight memory1.09 GB
Runtime overhead4.92 GB
Total with safety margin7.45 GB

Recommended best value

1× NVIDIA A100 SXM 80GB

80 GB total VRAM · nvlink

72.55 GB headroom · Available

USD 915 / month

Lowest-cost viable

1× NVIDIA L4 24GB

24 GB total VRAM · pcie

16.55 GB headroom · Available

USD 250 / month

Highest performance

1× NVIDIA H200 SXM 141GB

141 GB total VRAM · nvswitch

133.55 GB headroom · Limited capacity

USD 2,345 / month

License and self-hosting considerations

The exact pipeline and selected precision must fit on the chosen GPUs. Requirements vary with resolution, duration, batch size, modalities, and runtime; language-model KV-cache rules are not applied.

BGE Reranker v2 M3 is published under Apache License 2.0. The release-scoped official license link and verification date are retained with the catalogue record.

Commercial Use Allowed. The official license permits commercial use; its obligations still apply.

Alternatives and sibling variants

bge-reranker-v2-m3

Release timeline

baai/bge/bge-reranker-v2-m3 @ a0f5b78dcaca3b947f9c3996ca54b10da5328cdf462272540df0913655985770

Official source

Frequently asked questions

How much VRAM does BGE Reranker v2 M3 require?

The estimate uses the certified checkpoint, precision, runtime, workload dimensions, batch size, and domain-specific overhead.

Which runtimes support BGE Reranker v2 M3?

Certified upstream runtime evidence is available for transformers, sentence-transformers, flagembedding.

Can BGE Reranker v2 M3 be used commercially?

The stored commercial classification is Commercial Use Allowed. Consult the official Apache License 2.0 terms for the final obligations.

Official references

Last verified: 2026-08-26