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Model card on Hugging Face
Qwen 3 Embedding
by Alibaba
Embeddings
Qwen 3 Embedding is Alibaba's text-embedding family built on Qwen 3, offered in several sizes for search and retrieval. It delivers strong multilingual embeddings for RAG and semantic-search pipelines across a 32K-token context.
- Publisher
- Alibaba
- Context window
- 32K tokens
- Sizes
- 0.6B, 4B, 8B
- Licence
- Apache 2.0
Run Qwen 3 Embedding
Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.embeddings.create(
model="qwen3-embedding:0.6b",
input="The quick brown fox",
)
print(response.data[0].embedding)Run Qwen 3 Embedding on your own UK infrastructure
Deploy a worker, install Qwen 3 Embedding, and start serving it through one sovereign API endpoint.