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jojo1899/Phi-3.5-mini-instruct-ov-int4
Phi-3.5-mini-instruct-ov-int4 is a machine learning model from jojo1899. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is an INT4 quantized version of the Phi-3.5-mini-instruct model. The Python packages used in creating this model are as follows:
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From the Hugging Face model README
This is an INT4 quantized version of the Phi-3.5-mini-instruct model. The Python packages used in creating this model are as follows:
openvino==2024.5.0rc1
optimum==1.23.3
optimum-intel==1.20.1
nncf==2.13.0
torch==2.5.1
transformers==4.46.2
This quantized model is created using the following command:
optimum-cli export openvino --model "microsoft/Phi-3.5-mini-instruct" --weight-format int4 --group-size 128 --sym --ratio 1 --all-layers ./Phi-3.5-mini-instruct-ov-int4
For more details, run the following command from your Python environment: optimum-cli export openvino --help
INFO:nncf:Statistics of the bitwidth distribution:
| Num bits (N) | % all parameters (layers) | % ratio-defining parameters (layers) |
|---|---|---|
| 4 | 100% (130 / 130) | 100% (130 / 130) |