Microsoft's compact 0.6B multilingual embedder distilled for mid-tier and CPU deployments.
A strong 0.596B-parameter dense embedding model from Microsoft. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing.
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The mid-tier Harrier model from Microsoft Research, a Qwen3-0.6B-based decoder-only embedding model trained with contrastive learning plus knowledge distillation from larger teacher embedding models. Supports 94 languages and 32K-token contexts and produces 1024-dim embeddings, all under the MIT license.
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