EmbeddingGemma is a 300M parameter embedding model from Google.
1.2M Pulls 5 Tags Updated 8 months ago
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
228.6K Pulls 1 Tag Updated 5 months ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
1.9M Pulls 12 Tags Updated 8 months ago
A high-performing open embedding model with a large token context window.
71.3M Pulls 3 Tags Updated 2 years ago
State-of-the-art large embedding model from mixedbread.ai
10.9M 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.
3.1M 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.
394.3K 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.
328.8K Pulls 6 Tags Updated 1 year ago
Embedding model from BAAI mapping texts to vectors.
265.6K Pulls 3 Tags Updated 1 year ago
Qwen embedding model
96 Pulls 4 Tags Updated 2 weeks ago
1,039 Pulls 1 Tag Updated 1 month ago
167 Pulls 9 Tags Updated 1 month ago
104 Pulls 5 Tags Updated 1 month ago
155 Pulls 1 Tag Updated 4 months ago
Alibaba's text embedding model.Qwen3-Embedding-0.6B has the following features: Model Type: Text Embedding Supported Languages: 100+ Languages Number of Paramaters: 0.6B Context Length: 32k Embedding Dimension: Up to 1024, supports user-defined output...
41.7K Pulls 2 Tags Updated 7 months ago
EmbeddingGemma-300M-LawVault is a high-performance embedding model fine-tuned specifically for Chinese Legal RAG (Retrieval-Augmented Generation) scenarios.
134 Pulls 1 Tag Updated 5 months ago
Alibaba's text embedding model.Qwen3-Embedding-8B has the following features: Model Type: Text Embedding Supported Languages: 100+ Languages Number of Paramaters: 8B Context Length: 32k Embedding Dimension: Up to 4096, supports user-defined output...
36.3K Pulls 4 Tags Updated 7 months ago
119 Pulls 1 Tag Updated 4 months ago
Alibaba's text embedding model.Qwen3-Embedding-4B has the following features: Model Type: Text Embedding Supported Languages: 100+ Languages Number of Paramaters: 4B Context Length: 32k Embedding Dimension: Up to 2560, supports user-defined output ...
20.6K Pulls 4 Tags Updated 7 months ago