cuuupid/gte-qwen2-7b-instruct

nomic-embed-text-v1 is 8192 context length text encoder that surpasses OpenAI text-embedding-ada-002...

Llama2 13B with embedding output

E5-mistral-7b-instruct language embedding model

General Text Embeddings (GTE) model.

Generate CLIP (clip-vit-large-patch14) text & image embeddings

multilingual-e5-large: A multi-language text embedding model

snowflake-arctic-embed is a suite of text embedding models that focuses on creating high-quality ret...

This is a language model that can be used to obtain document embeddings suitable for downstream task...