EmbeddingGemma is a 300M parameter embedding model from Google.
2.2M Pulls 5 Tags Updated 1 year ago
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
961.6K Pulls 1 Tag Updated 9 months ago
A high-performing open embedding model with a large token context window.
87.1M Pulls 3 Tags Updated 2 years ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
4.1M Pulls 12 Tags Updated 1 year ago
State-of-the-art large embedding model from mixedbread.ai
15M Pulls 4 Tags Updated 2 years ago
Embedding models on very large sentence level datasets.
3.6M Pulls 10 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
Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.
457.6K 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.
374.4K Pulls 6 Tags Updated 1 year ago
Embedding model from BAAI mapping texts to vectors.
287.1K Pulls 3 Tags Updated 2 years ago
64 Pulls 1 Tag Updated 2 weeks ago
58 Pulls 1 Tag Updated 3 weeks ago
Embedding Model Qwen3-Embedding-0.6B-Q8-NVFP4
44 Pulls 1 Tag Updated 2 weeks ago
1,911 Pulls 9 Tags Updated 5 months ago
1,797 Pulls 1 Tag Updated 5 months ago
WeMM-Embedding-2B is a universal multimodal embedding model built on Qwen3.5.
357 Pulls 4 Tags Updated 1 month ago
Qwen embedding model
373 Pulls 4 Tags Updated 4 months ago
Embedding Model embeddinggemma-300M-NVFP4-Q8-GGUF
8 Pulls 1 Tag Updated 1 week ago
210 Pulls 4 Tags Updated 2 months ago
208 Pulls 2 Tags Updated 5 months ago