OpenVINO models
Collection
A collection of quantized LLMs in OpenVINO format
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5 items
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Updated
This is an INT4 quantized version of the mistralai/Mistral-7B-Instruct-v0.2
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 "mistralai/Mistral-7B-Instruct-v0.2" --weight-format int4 --group-size 128 --sym --ratio 1 --all-layers ./Mistral-7B-Instruct-v0.2-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) |