| base_model: PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct | |
| language: | |
| - en | |
| library_name: transformers | |
| license: cc-by-nc-4.0 | |
| tags: | |
| - text-generation | |
| - pytorch | |
| - Lynx | |
| - Patronus AI | |
| - evaluation | |
| - hallucination-detection | |
| - openvino | |
| - nncf | |
| - 4-bit | |
| This model is a quantized version of [`PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct`](https://huggingface.co/PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct) 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 = "elucidator8918/Llama-3-Patronus-Lynx-8B-Instruct-openvino-4bit" | |
| model = OVModelForCausalLM.from_pretrained(model_id) | |
| ``` | |