0.6B-parameter text-embedding model for retrieval-augmented generation, semantic search, and dense retrieval. Part of the Zen embedding line.
Repackaged from
Qwen/Qwen3-Embedding-0.6B (apache-2.0, Alibaba Qwen). Native HuggingFace
safetensors, re-hosted under the Zen embedding line.
Not trained from scratch — a permissively-licensed redistribution for the OSS-clean Zen model line.
1from sentence_transformers import SentenceTransformer
2
3model = SentenceTransformer("zenlm/zen-embedding-0.6B")
4emb = model.encode(["The weather is lovely today.", "It's so sunny outside!"])
5print(model.similarity(emb, emb))
GGUF build for CPU inference:
zenlm/zen-embedding-0.6B-GGUF.
