Qwen3-Embedding-8B
Official · BF16 · safetensors
Runtime certified: Transformers Sentence-transformers
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
|---|---|---|---|---|
| BF16 | safetensors | 16 | Official | Runtime certified |
Qwen Embedding · Embedding · Qwen3 Embedding
Qwen3 Embedding 8B: Specs, GPU requirements, hosting & deployment
Qwen3 Embedding 8B is a current Embedding release in the Qwen Embedding family, certified from its immutable official source revision.
Total parameters8.0B
Active parametersN/A / Not directly comparable
Context window32,768 tokens
Release statusCurrent · Current
ArchitectureEmbedding transformer
ModalitiesText
LicenseApache License 2.0
Deployment stateDeployable with certified configuration
Commercial stateCommercial Use Allowed
Release date2025-06-03
Architecture, strengths and use cases
Qwen3 Embedding 8B is an official self-hostable Qwen Embedding and reranking release. It uses Embedding transformer with 8B. Exact checkpoint, license, runtime, and hardware evidence is tied to the verified upstream revision.
Qwen3 Embedding 8B uses Embedding transformer with 8B. Pipeline and configuration fields are reported only where the official source publishes them.
Verified Embedding 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.
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 memory15.35 GB
Runtime overhead7.48 GB
Total with safety margin28.31 GB
Recommended best value
1× NVIDIA A100 SXM 80GB
80 GB total VRAM · nvlink
51.69 GB headroom · Available
USD 915 / monthLowest-cost viable
2× NVIDIA L4 24GB
48 GB total VRAM · pcie
19.69 GB headroom · Available
USD 500 / monthHighest performance
1× NVIDIA H200 SXM 141GB
141 GB total VRAM · nvswitch
112.69 GB headroom · Limited capacity
USD 2,345 / monthLicense 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.
Qwen3 Embedding 8B 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
千问3-Embedding-8B-向量化模型, 千问3-Embedding-8B-向量化模型-GGUF
Release timeline
qwen/qwen-embedding/qwen3-embedding-8b
Source details
Source revision: 363301735d1684d65ad692bb7724c29248b8040c5edc6d00c4754169b65ea226
Frequently asked questions
How much VRAM does Qwen3 Embedding 8B require?
The estimate uses the certified checkpoint, precision, runtime, workload dimensions, batch size, and domain-specific overhead.
Which runtimes support Qwen3 Embedding 8B?
Certified upstream runtime evidence is available for transformers, sentence-transformers.
Can Qwen3 Embedding 8B 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