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TitleOS
/
Qwen3-VL-Embedding-2B-GGUF

Feature Extraction
Transformers
GGUF
multimodal embedding
qwen
embedding
llama-cpp
gguf-my-repo
Model card Files Files and versions
xet
Community

Instructions to use TitleOS/Qwen3-VL-Embedding-2B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TitleOS/Qwen3-VL-Embedding-2B-GGUF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="TitleOS/Qwen3-VL-Embedding-2B-GGUF")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("TitleOS/Qwen3-VL-Embedding-2B-GGUF", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-VL-Embedding-2B-GGUF
3.91 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
TitleOS's picture
TitleOS
Upload qwen3-vl-embedding-2b-mmprof-fp16.gguf
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  • .gitattributes
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    Upload qwen3-vl-embedding-2b-mmprof-fp16.gguf 3 months ago
  • README.md
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  • qwen3-vl-embedding-2b-mmprof-fp16.gguf
    819 MB
    xet
    Upload qwen3-vl-embedding-2b-mmprof-fp16.gguf 3 months ago
  • qwen3-vl-embedding-2b-q5_k_m.gguf
    1.26 GB
    xet
    Upload qwen3-vl-embedding-2b-q5_k_m.gguf 3 months ago
  • qwen3-vl-embedding-2b-q8_0.gguf
    1.83 GB
    xet
    Upload qwen3-vl-embedding-2b-q8_0.gguf with huggingface_hub 3 months ago