Instructions to use npario/Qwen3-Embedding-0.6B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use npario/Qwen3-Embedding-0.6B-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Embedding-0.6B-8bit npario/Qwen3-Embedding-0.6B-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.safetensors from npario/Qwen3-Embedding-0.6B-8bit: direct link, hf CLI and curl.
- Browser
- Download file 633 MB
-
https://huggingface.co/npario/Qwen3-Embedding-0.6B-8bit/resolve/main/model.safetensors
- Command line
-
hf download hf://npario/Qwen3-Embedding-0.6B-8bit/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/npario/Qwen3-Embedding-0.6B-8bit/resolve/main/model.safetensors
633 MB
- Xet hash:
- 97a9cd09649de7c5fc92f5779604ee8cb9f492e77f160a3043e62e252355fecd
- Size of remote file:
- 633 MB
- SHA256:
- fe956e8d346b4f08215a3cfc48a874354f900c20a59e965b75df0d9d77c54b28
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