Feature Extraction
Safetensors
MLX
English
Chinese
multilingual
mlx-embeddings
qwen3
embeddings
sentence-similarity
quantized
4bit
qwen
qwen3-embedding
Instructions to use majentik/Qwen3-Embedding-4B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use majentik/Qwen3-Embedding-4B-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Embedding-4B-MLX-4bit majentik/Qwen3-Embedding-4B-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 3b6eabe0fdbdfe15ba7d651fbb1ea671fa32af2265837f02567d9029557ce1bb
- Size of remote file:
- 2.26 GB
- SHA256:
- 6de103201a0547950bfe630d7baa2356fd2fd21c128d06786f333e3f71523e12
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