embed · Ollama

embeddinggemma

EmbeddingGemma is a 300M parameter embedding model from Google.

2.1M Pulls 5 Tags Updated 1 year 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

4M Pulls 12 Tags Updated 12 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

921.8K Pulls 1 Tag Updated 9 months ago

nomic-embed-text

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

embedding

86.4M Pulls 3 Tags Updated 2 years ago

mxbai-embed-large

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

embedding 335m

14.8M Pulls 4 Tags Updated 2 years ago

all-minilm

Embedding models on very large sentence level datasets.

embedding 22m 33m

3.6M Pulls 10 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

453.7K 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

370.6K Pulls 6 Tags Updated 1 year ago

bge-large

Embedding model from BAAI mapping texts to vectors.

embedding 335m

286.1K Pulls 3 Tags Updated 2 years ago

exaone3.5

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.

2.4b 7.8b 32b

561.5K Pulls 13 Tags Updated 1 year ago