Qwen3 Embedding 0.6B Generic Cpu

This is the CPU-optimized variant of qwen3-embedding-0.6b, a text embedding model from the Qwen3 family developed by Alibaba Cloud and optimized by Microsoft.

Model Details

• Model Type: Text Embedding (ONNX)
• Parameters: 0.6 billion
• Context Length: 32K tokens
• Embedding Dimension: Up to 1024
• Quantization: KLD Gradient quantization
• Target Device: CPU
• Execution Provider: CPUExecutionProvider
• Supported Languages: 100+

Intended Use

This model is optimized for local execution on devices with CPU hardware acceleration using Foundry Local.

Capabilities

• Text retrieval and semantic search
• Code retrieval
• Text classification and clustering
• Bitext mining
• Multilingual and cross-lingual retrieval

License

This model is licensed under Apache 2.0. See license details .

Source

• HuggingFace: Qwen3-Embedding-0.6B