EmbeddingGemma is a 300M parameter embedding model from Google.
1.6M Pulls 5 Tags Updated 11 months ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
3.6M Pulls 12 Tags Updated 10 months ago
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
644.5K Pulls 1 Tag Updated 7 months ago
A high-performing open embedding model with a large token context window.
81.2M Pulls 3 Tags Updated 2 years ago
State-of-the-art large embedding model from mixedbread.ai
13.3M 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.
3.3M 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.
434.6K 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.
347.5K Pulls 6 Tags Updated 1 year ago
Embedding model from BAAI mapping texts to vectors.
278.3K Pulls 3 Tags Updated 1 year ago
10 Pulls 3 Tags Updated 4 days ago
an ultra-compact multilingual text embedding model
6 Pulls 4 Tags Updated yesterday
5 Pulls 4 Tags Updated yesterday
2 Pulls 1 Tag Updated 5 days ago
1 Pull 1 Tag Updated 6 days ago
1,509 Pulls 1 Tag Updated 4 months ago
1,102 Pulls 9 Tags Updated 3 months ago
Qwen embedding model
268 Pulls 4 Tags Updated 3 months ago
https://github.com/hellc/llama.cpp/tree/e64249b3087c5241b961932b93ec879782add686
275 Pulls 4 Tags Updated 5 months ago
219 Pulls 4 Tags Updated 5 months ago