Instructions to use gn00029914/voyage-4-nano-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use gn00029914/voyage-4-nano-oQ8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir voyage-4-nano-oQ8 gn00029914/voyage-4-nano-oQ8
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
voyage-4-nano-oQ8
This model was quantized using oQ (oMLX v0.3.8) mixed-precision quantization.
Quantization details
- Model type: qwen3
- Bits: 8
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 69
Model size
97.5M params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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8-bit
Model tree for gn00029914/voyage-4-nano-oQ8
Base model
voyageai/voyage-4-nano