Developed by Microsoft, Harrier Oss V 1 0.6B is a multilingual text embedding model that excels at tasks such as retrieval, clustering, and semantic similarity. It utilizes a decoder-only architecture with last-token pooling and L2 normalization to produce dense text embeddings.
Input
Output
Context
33K
Max Output
-
Parameters
596M
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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