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README.md
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---
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base_model: yujiepan/llama-2-tiny-3layers-random
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- openvino
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- nncf
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- 8-bit
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inference: true
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widget:
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- text: Hello!
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example_title: Hello world
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group: Python
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---
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This model is a quantized version of [`yujiepan/llama-2-tiny-3layers-random`](https://huggingface.co/yujiepan/llama-2-tiny-3layers-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).
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First make sure you have `optimum-intel` installed:
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```bash
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pip install optimum[openvino]
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```
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To load your model you can do as follows:
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```python
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from optimum.intel import OVModelForCausalLM
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model_id = "yujiepan/llama-2-tiny-3layers-random-openvino-8bit"
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model = OVModelForCausalLM.from_pretrained(model_id)
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```
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