EmbeddingGemma is a 300M parameter embedding model from Google.
1.3M Pulls 5 Tags Updated 9 months ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
2.2M Pulls 12 Tags Updated 9 months ago
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
361.1K Pulls 1 Tag Updated 6 months ago
A high-performing open embedding model with a large token context window.
75.2M Pulls 3 Tags Updated 2 years ago
State-of-the-art large embedding model from mixedbread.ai
11.8M Pulls 4 Tags Updated 2 years 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.
3.2M Pulls 10 Tags Updated 2 years ago
Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.
411.9K 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.
333.5K Pulls 6 Tags Updated 1 year ago
Embedding model from BAAI mapping texts to vectors.
270.3K Pulls 3 Tags Updated 1 year ago
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1,219 Pulls 1 Tag Updated 2 months ago
282 Pulls 9 Tags Updated 2 months ago
Qwen embedding model
180 Pulls 4 Tags Updated 1 month ago
https://github.com/hellc/llama.cpp/tree/e64249b3087c5241b961932b93ec879782add686
254 Pulls 4 Tags Updated 3 months ago
192 Pulls 4 Tags Updated 3 months ago
123 Pulls 5 Tags Updated 1 month ago
175 Pulls 1 Tag Updated 5 months ago
99 Pulls 3 Tags Updated 2 months ago