MLX
Safetensors
bailing_hybrid
inclusionAI
Alibaba
ling
ling-3.0
tiny
omlx
oQe
apple
bf16
custom_code
5-bit
Instructions to use dicksondickson/Ling-3.0-tiny-oQ5e-bf16-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dicksondickson/Ling-3.0-tiny-oQ5e-bf16-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dicksondickson/Ling-3.0-tiny-oQ5e-bf16-MLX --local-dir Ling-3.0-tiny-oQ5e-bf16-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
dicksondickson/Ling-3.0-tiny-oQ5e-bf16-MLX
This model is a quantization of:
https://huggingface.co/inclusionAI/Ling-3.0-tiny
This checkpoint was quantized using oMLX 0.7.0 with imatrix enabled.
Important tensors are left at bf16 which is for Apple M3 chips and later.
Run the model using oMLX:
https://github.com/jundot/omlx
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Model size
8B params
Tensor type
U32
路
BF16 路
F32 路
Hardware compatibility
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5-bit
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Base model
inclusionAI/Ling-3.0-tiny