| base_model: yujiepan/mixtral-8xtiny-random | |
| library_name: transformers | |
| pipeline_tag: text-generation | |
| tags: | |
| - openvino | |
| - nncf | |
| - 8-bit | |
| inference: true | |
| widget: | |
| - text: Hello! | |
| example_title: Hello world | |
| group: Python | |
| This model is a quantized version of [`yujiepan/mixtral-8xtiny-random`](https://huggingface.co/yujiepan/mixtral-8xtiny-random) and is converted to the OpenVINO format. This model was obtained via the [nncf-quantization](https://huggingface.co/spaces/echarlaix/nncf-quantization) space with [optimum-intel](https://github.com/huggingface/optimum-intel). | |
| First make sure you have `optimum-intel` installed: | |
| ```bash | |
| pip install optimum[openvino] | |
| ``` | |
| To load your model you can do as follows: | |
| ```python | |
| from optimum.intel import OVModelForCausalLM | |
| model_id = "yujiepan/mixtral-8xtiny-random-openvino-8bit" | |
| model = OVModelForCausalLM.from_pretrained(model_id) | |
| ``` | |