Feature Extraction
MLX
Safetensors
English
Chinese
multilingual
qwen3
mlx-lm
embeddings
text-embedding
retrieval
4-bit precision
Instructions to use mlx-community/Octen-Embedding-4B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Octen-Embedding-4B-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/Octen-Embedding-4B-MLX-4bit --local-dir Octen-Embedding-4B-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from mlx-community/Octen-Embedding-4B-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/mlx-community/Octen-Embedding-4B-MLX-4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://mlx-community/Octen-Embedding-4B-MLX-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlx-community/Octen-Embedding-4B-MLX-4bit/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 1cc0ea2ab1bbf3cbace4de2db48b896d87952770454248e054846db5aef23597
- Size of remote file:
- 11.4 MB
- SHA256:
- 31f82e8f8c173bff1b34626d065393d33938f6d27a7448cfb706bbf9d3c0e651
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