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Qwen3-Embedding 0.6B

Hugging Face (open weights) Open weights

The catch: Lower retrieval quality than the 4B and 8B sizes.

AccessOpen weights
Free limitsFree to download and self-host; you pay only for your own compute. 0.6B text embedding model; up to 1024 dimensions (any size from 32); 32K-token input; 100+ languages. Runs on CPU or a small GPU.
Modalityembeddings
Credit cardNot required
Commercial useAllowed
Trains on your data–
Licence or termsApache-2.0
Context window32,768 tokens
Model idQwen/Qwen3-Embedding-0.6B
Base URL–
Last checked8 Oct 2026

How to use Qwen3-Embedding 0.6B

Download the weights and serve them yourself; the quickstart below shows one way. Licence: Apache-2.0.

Quickstart
pip install -U sentence-transformers && python -c "from sentence_transformers import SentenceTransformer; print(SentenceTransformer('Qwen/Qwen3-Embedding-0.6B').encode(['hello']).shape)"
Paste into Claude Code
I want to run the open-weight model "Qwen3-Embedding 0.6B" (Qwen/Qwen3-Embedding-0.6B) for my project.
Please:
1. Check the model card and tell me the hardware it needs and the simplest way to serve it (vLLM, SGLang, Ollama or a hosted endpoint).
2. Give me a minimal working setup and a test request.
3. Tell me the licence terms for commercial use.
4. If a cheaper or smaller variant would do the job, mention it.

Before you ship on it

  • Lower retrieval quality than the 4B and 8B sizes.
  • Apache-2.0 (licence tag on the HF repo): use, modify, distribute and sell, including commercially; keep the licence and notices when you redistribute.
  • Free to run means you pay for the GPUs, the serving stack and the on-call.

Questions

Is Qwen3-Embedding 0.6B free?

Yes. Open weights offers it as open weights, with these limits: Self-host free · Apache-2.0. No credit card is needed.

Can I use Qwen3-Embedding 0.6B commercially?

Yes, under Apache-2.0. Check the current terms before you ship.

How do I start with Qwen3-Embedding 0.6B?

Download the weights and serve them yourself; the quickstart below shows one way. Licence: Apache-2.0.

Source: huggingface.co/Qwen/Qwen3-Embedding-0.6B, checked 8 Oct 2026.