EmbeddingGemma is a 300M parameter embedding model from Google.
1.1M Pulls 5 Tags Updated 7 months ago
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
195.3K Pulls 1 Tag Updated 4 months ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
1.8M Pulls 12 Tags Updated 7 months ago
A high-performing open embedding model with a large token context window.
67.9M Pulls 3 Tags Updated 2 years ago
State-of-the-art large embedding model from mixedbread.ai
10.1M Pulls 4 Tags Updated 1 year ago
A suite of text embedding models by Snowflake, optimized for performance.
3.1M Pulls 16 Tags Updated 2 years ago
Embedding models on very large sentence level datasets.
3M Pulls 10 Tags Updated 1 year ago
Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.
381.4K Pulls 3 Tags Updated 1 year 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.
321.7K Pulls 6 Tags Updated 1 year ago
Embedding model from BAAI mapping texts to vectors.
260.7K Pulls 3 Tags Updated 1 year ago
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883 Pulls 1 Tag Updated 4 weeks ago
Embeddinggemma model to run on CPU
19 Pulls 1 Tag Updated 3 weeks ago