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  • embeddinggemma

    EmbeddingGemma is a 300M parameter embedding model from Google.

    embedding 300m

    1.3M  Pulls 5  Tags Updated  9 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

    2.3M  Pulls 12  Tags Updated  9 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

    435.2K  Pulls 1  Tag Updated  6 months ago

  • nomic-embed-text

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

    embedding

    76.9M  Pulls 3  Tags Updated  2 years ago

  • mxbai-embed-large

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

    embedding 335m

    12.1M  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

  • all-minilm

    Embedding models on very large sentence level datasets.

    embedding 22m 33m

    3.2M  Pulls 10  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

    415.2K  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

    335.8K  Pulls 6  Tags Updated  1 year ago

  • bge-large

    Embedding model from BAAI mapping texts to vectors.

    embedding 335m

    272.4K  Pulls 3  Tags Updated  1 year 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

    516.8K  Pulls 13  Tags Updated  1 year ago

  • shb/legal-embed-qwen

    embedding

    1  Pull 1  Tag Updated  4 days ago

  • tutorify/jina-embeddings-v5-omni-small-retrieval

    vision embedding

    25  Pulls 1  Tag Updated  2 weeks ago

  • MedAIBase/Qwen3-VL-Embedding

    The Qwen3-VL-Embedding model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model.

    2b

    2,631  Pulls 3  Tags Updated  5 months ago

  • charaf/qwen3-vl-embedding-8b

    vision embedding tools thinking

    1,302  Pulls 1  Tag Updated  2 months ago

  • aksh-desai/qwen3-vl-embedding

    758  Pulls 6  Tags Updated  4 months ago

  • batiai/qwen3-embedding

    embedding 0.6b 4b 8b

    382  Pulls 9  Tags Updated  2 months ago

  • fervent_mcclintock/Qwen3-VL-Embedding-2B

    vision

    398  Pulls 2  Tags Updated  4 months ago

  • RizwanMalik/qwen3-vl-embedding-2b

    Qwen embedding model

    vision embedding

    219  Pulls 4  Tags Updated  1 month ago

  • batiai/qwen3-vl-embed-2b

    206  Pulls 3  Tags Updated  2 months ago

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