Embed English Light 3
Embed English Light 3 provides the lighter English option in the v3 family. It is served through API and private deployment routes; the public Hugging Face repository is a tokenizer release.
Model behavior
The official repository documents Cohere API use and private hosting. Its presence on a model repository site does not provide the weights required to run the embedding model locally.Embed English Light 3 tokenizer and API guide
How to use it well
Practical guidance. This is a comparison candidate for short English records where index size and query volume matter. Review whether shorter vectors retain distinctions between near-duplicate products, support articles or policy clauses. Measure both useful matches and false matches. For a new high-volume system, compare it with Embed 5 Fast rather than assuming the older Light name guarantees the best operating result.
Specifications & access
| Detail | Value and conditions |
|---|---|
| Access | API |
| Model identifiers | embed-english-light-v3.0 |
| Context window | 512 tokens Text input token limit for this v3 variant. Cohere Embed specifications |
| Vector dimensions | 384Cohere Embed specifications |
| Language scope | EnglishEmbed English Light 3 tokenizer and API guide |
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- Embed 5 Fast
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Low-latency embedding model that shares its vector space with Embed 5 Pro.
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English text embedding model for API access and private deployment.
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