EmbeddingGemma is a 300M parameter embedding model from Google.
495.6K Pulls 5 Tags 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
613.8K Pulls 12 Tags Updated 4 months ago
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
34.2K Pulls 1 Tag Updated 2 months ago
A high-performing open embedding model with a large token context window.
53.8M Pulls 3 Tags Updated 1 year ago
State-of-the-art large embedding model from mixedbread.ai
7.3M Pulls 4 Tags Updated 1 year ago
A suite of text embedding models by Snowflake, optimized for performance.
1.9M Pulls 16 Tags Updated 1 year ago
Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.
243.1K 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.
199K Pulls 6 Tags Updated 1 year ago
Embedding models on very large sentence level datasets.
2.4M Pulls 10 Tags Updated 1 year ago
Embedding model from BAAI mapping texts to vectors.
192.5K Pulls 3 Tags Updated 1 year ago
EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.
238.3K Pulls 13 Tags Updated 1 year ago
49 Pulls 6 Tags Updated 3 days ago
Ling-flash-2.0, a language model with 100B total parameters and 6.1B activated parameters (4.8B non-embedding).
42 Pulls 2 Tags Updated 3 weeks ago
28 Pulls 2 Tags Updated 3 weeks ago
1,448 Pulls 16 Tags Updated 5 months ago
This is the Qwen3 4B embedding model from here: https://huggingface.co/Qwen/Qwen3-Embedding-4B
909 Pulls 1 Tag Updated 5 months ago
This is the Qwen3 0.6B embedding model from here: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B
878 Pulls 1 Tag Updated 5 months ago
332 Pulls 1 Tag Updated 5 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...
36.8K Pulls 2 Tags Updated 4 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...
32.9K Pulls 4 Tags Updated 4 months ago