Qwen3 Embedding 8B
HotAlibaba's flagship embedding model — #1 on MTEB multilingual leaderboard (score 70.58). 8B decoder-only transformer, 32K context, flexible 32–4096 dimension output. Outperforms all dedicated encoder models on 100+ language retrieval tasks.
Specifications
SourceBuild your Local Rig
Ready to run locally? Shop top-tier GPUs on Amazon for the best performance.
Instant Cloud GPUs
Running out of VRAM? Rent a high-end H100 or RTX 4090 on RunPod and deploy in seconds.
Share this Model
Send these specs directly to your community.
Similar Models
Qwen3 Embedding 4B
4BMid-size Qwen3 embedding model at 4B parameters — strong multilingual retrieval with lower VRAM requirements than the 8B. Apache 2.0, 32K context.
Qwen3 Embedding 0.6B
0.6BUltra-compact Qwen3 embedding model — 0.6B parameters, runs on CPU or any GPU. Ideal for edge RAG pipelines and low-latency local search with Apache 2.0 license.
Qwen3 Reranker 8B
8BAlibaba's top cross-encoder reranker at 8B parameters — state-of-the-art on multilingual text retrieval benchmarks. Instruction-aware for task-specific ranking. Apache 2.0.