nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
26.9K Pulls 1 Tag Updated 1 month ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
463.5K Pulls 12 Tags Updated 4 months ago
EmbeddingGemma is a 300M parameter embedding model from Google.
462.2K Pulls 5 Tags Updated 4 months ago
The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.
190.3K Pulls 6 Tags Updated 1 year ago
Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.
235.6K Pulls 3 Tags Updated 1 year ago
Embedding model from BAAI mapping texts to vectors.
187.4K Pulls 3 Tags Updated 1 year ago
Sentence-transformers model that can be used for tasks like clustering or semantic search.
397.4K Pulls 3 Tags Updated 1 year ago
BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.
3.2M Pulls 3 Tags Updated 1 year ago
A suite of text embedding models by Snowflake, optimized for performance.
1.8M Pulls 16 Tags Updated 1 year ago
State-of-the-art large embedding model from mixedbread.ai
7M Pulls 4 Tags Updated 1 year ago
Embedding models on very large sentence level datasets.
2.3M Pulls 10 Tags Updated 1 year ago
A high-performing open embedding model with a large token context window.
52.8M Pulls 3 Tags Updated 1 year ago