embedding · Ollama

embeddinggemma

EmbeddingGemma is a 300M parameter embedding model from Google.

1.5M Pulls 5 Tags Updated 10 months ago

qwen3-embedding

Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes

embedding 0.6b 4b 8b

2.6M Pulls 12 Tags Updated 10 months ago

nomic-embed-text-v2-moe

nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.

embedding

551.7K Pulls 1 Tag Updated 7 months ago

nomic-embed-text

A high-performing open embedding model with a large token context window.

embedding

79.5M Pulls 3 Tags Updated 2 years ago

mxbai-embed-large

State-of-the-art large embedding model from mixedbread.ai

embedding 335m

12.8M Pulls 4 Tags Updated 2 years ago

snowflake-arctic-embed

A suite of text embedding models by Snowflake, optimized for performance.

embedding 22m 33m 110m 137m 335m

3.1M Pulls 16 Tags Updated 2 years ago

snowflake-arctic-embed2

Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.

embedding 568m

426.9K Pulls 3 Tags Updated 1 year ago

granite-embedding

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.

embedding 30m 278m

341.6K Pulls 6 Tags Updated 1 year ago

all-minilm

Embedding models on very large sentence level datasets.

embedding 22m 33m

3.3M Pulls 10 Tags Updated 2 years ago

bge-large

Embedding model from BAAI mapping texts to vectors.

embedding 335m

276.1K Pulls 3 Tags Updated 1 year ago

laguna-xs.2

Laguna XS.2 is a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine.

tools thinking

22K Pulls 7 Tags Updated 2 months ago