OpenVINO models
Collection
A collection of quantized LLMs in OpenVINO format
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This is an INT4 quantized version of the meta-llama/Llama-3.1-8B-Instruct model. The Python packages used in creating this model are as follows:
openvino==2025.0.0
optimum==1.24.0
optimum-intel==1.22.0
nncf==2.15.0
torch==2.6.0
transformers==4.48.3
This quantized model is created using the following command:
optimum-cli export openvino --model "meta-llama/Llama-3.1-8B-Instruct" --weight-format int4 --group-size 128 --sym --ratio 1 --all-layers ./llama-3_1-8b-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% (226 / 226) | 100% (226 / 226) |
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