AlibabaQwen Embedding
Qwen3-Embedding-0.6B
This instruction-aware embedding checkpoint supports more than 100 languages and a 32,000-token context.
Practical use
Practical guidance. Start with the smallest embedding size when indexing a large collection. Compare retrieval recall at several vector dimensions before fixing the index format; changing dimensions later requires rebuilding stored vectors.
Specifications & access
| Detail | Value and conditions |
|---|---|
| Access | Downloadable |
| Model identifiers | Qwen/Qwen3-Embedding-0.6B |
| Vector dimensions | User-selected dimensions from 32 to 1024.Qwen3-Embedding-0.6B model card |
| Scope | Text, cross-language and code retrieval.Qwen3-Embedding-0.6B model card |
| Licence | Apache 2.0.Qwen3-Embedding-0.6B model card |
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