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TiGa-RCE
/
Qwen3-Embedding-0.6B-MLX-oQ4e

Feature Extraction
MLX
Safetensors
qwen3
embeddings
sentence-similarity
quantization
omlx
oq4e
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir Qwen3-Embedding-0.6B-MLX-oQ4e TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4e
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
Qwen3-Embedding-0.6B-MLX-oQ4e
366 MB
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  • 1 contributor
History: 2 commits
TiGa-RCE's picture
TiGa-RCE
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  • .gitattributes
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  • EVALUATION.json
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  • LICENSE
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  • PROVENANCE.json
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  • README.md
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  • config.json
    11.2 kB
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  • config_sentence_transformers.json
    215 Bytes
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  • generation_config.json
    117 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    350 MB
    xet
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  • modules.json
    349 Bytes
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  • oq_imatrix_report.json
    10.1 kB
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    9.71 kB
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  • vocab.json
    2.78 MB
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