Instructions to use Lykegenes/Ling-3.0-tiny-oQ4e-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Lykegenes/Ling-3.0-tiny-oQ4e-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Lykegenes/Ling-3.0-tiny-oQ4e-fp16 --local-dir Ling-3.0-tiny-oQ4e-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Ling-3.0-tiny-oQ4e-fp16
This model was quantized using oQ (oMLX v0.7.1.dev2) mixed-precision quantization.
The effective average is 4.700 bits/weight for the complete checkpoint.
Quantization and Bit Distribution
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 4-bit, group 64 | 7.455B | 94.442% | 3.905 GiB | 4.50 |
| Affine 5-bit, group 64 | 0.007B | 0.090% | 0.005 GiB | 5.50 |
| Affine 6-bit, group 64 | 0.079B | 0.999% | 0.060 GiB | 6.50 |
| Affine 8-bit, group 64 | 0.352B | 4.462% | 0.348 GiB | 8.50 |
| FP16 | 0.001B | 0.007% | 0.001 GiB | 16.00 |
| FP32 | 0.000B | 0.000% | 0.000 GiB | 32.00 |
| Total | 7.893B | 100% | 4.319 GiB | 4.700 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 7.893B | 4.638 GB / 4.319 GiB |
| Total | 7.893B | 4.638 GB / 4.319 GiB |
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Model size
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Tensor type
U32
路
F16 路
F32 路
Hardware compatibility
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4-bit
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