Instructions to use yonlyyone/Ling-3.0-tiny-oQ8-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use yonlyyone/Ling-3.0-tiny-oQ8-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download yonlyyone/Ling-3.0-tiny-oQ8-fp16 --local-dir Ling-3.0-tiny-oQ8-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
This quantization was uploaded on 2026-09-30 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
Ling-3.0-tiny-oQ8-fp16
This model was quantized using oQ (oMLX v0.7.0rc1) mixed-precision quantization.
Quantization details
- Model type: bailing_hybrid
- Bits: 8
- Group size: 64
- Format: MLX safetensors
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- 137
Model size
8B params
Tensor type
U32
路
F16 路
F32 路
Hardware compatibility
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8-bit
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