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Added nncf, torch, and transformers package versions
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---
license: mit
tags:
- openvino
- int4
---
This is an INT4 quantized version of the `Phi-3-mini-128k-instruct` model. The Python packages used in creating this model are as follows:
```
openvino==2024.3.0.dev20240528
openvino-nightly==2024.3.0.dev20240528
openvino-tokenizers==2024.3.0.0.dev20240528
optimum==1.19.2
optimum-intel==1.17.0.dev0+aefabf0
nncf==2.11.0.dev0+90a7f0d5
torch==2.3.0+cu121
transformers==4.40.2
```
This quantized model is created using the following command:
```
optimum-cli export openvino -m "microsoft/Phi-3-mini-128k-instruct" --task text-generation-with-past --weight-format int4 --group-size 128 --trust-remote-code ./Phi-3-mini-128k-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) |
|----------------|-----------------------------|----------------------------------------|
| 8 | 25% (27 / 130) | 21% (25 / 128) |
| 4 | 75% (103 / 130) | 79% (103 / 128) |