lucataco/qwen3-embedding-8b ❓✓🔢📝 → ❓
About
The Qwen3 Embedding model series is specifically designed for text embedding and ranking tasks

Example Output
Output
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Performance Metrics
0.03s
Prediction Time
0.04s
Total Time
All Input Parameters
{ "text": "[\"In the water, fish are swimming.\", \"Fish swim in the water.\", \"A book lies open on the table.\"]", "normalize": true, "batch_size": 8, "instruction": "", "embedding_dim": 1024 }
Input Parameters
- text (required)
- Text or list of texts to embed
- normalize
- Whether to normalize embeddings
- batch_size
- Batch size for processing multiple texts
- instruction
- Optional instruction for task-specific embeddings
- embedding_dim
- Output embedding dimension
Output Schema
Output
Version Details
- Version ID
42d968487820032a1535d81ea20df16f442ea308ec5abae6b5d6cf4675eb3e2f
- Version Created
- July 19, 2025