Task
Feature Extraction
H
microsoft/harrier-oss-v1-0.6b
Feature Extraction·microsoft· 374.8K· 264
harrier-oss-v1 is a family of multilingual text embedding models developed by Microsoft. The models use decoder-only architectures with last-token pooling and L2 normalization to produce dense text embeddings. They can be applied to a wide range of tasks, including but not limited to retrieval, clustering, semantic similarity, classification, bitext mining, and reranking. The models achieve state-
# pull & run locally
pip install mlforge-sdk && mlforge pull microsoft/harrier-oss-v1-0.6b
pip install mlforge-sdk && mlforge pull microsoft/harrier-oss-v1-0.6b
Model details
Provider
microsoft
Framework
sentence-transformers
Parameters
596.0M
Size
3.3 GB
License
mit
Downloads
374.8K
Likes
264
Updated
2026-03-30
About microsoft/harrier-oss-v1-0.6b
harrier-oss-v1 is a family of multilingual text embedding models developed by Microsoft. The models use decoder-only architectures with last-token pooling and L2 normalization to produce dense text embeddings. They can be applied to a wide range of tasks, including but not limited to retrieval, clustering, semantic similarity, classification, bitext mining, and reranking. The models achieve state-of-the-art results on the Multilingual MTEB v2 benchmark as of the release date.