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README.md

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+---
+base_model: meta-llama/Llama-3.1-70B-Instruct
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+library_name: transformers
+license: llama3.1
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- openvino
+- nncf
+- 4-bit
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+extra_gated_fields:
+  First Name: text
+  Last Name: text
+  Date of birth: date_picker
+  Country: country
+  Affiliation: text
+  Job title:
+    type: select
+    options:
+    - Student
+    - Research Graduate
+    - AI researcher
+    - AI developer/engineer
+    - Reporter
+    - Other
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+    with the Meta Privacy Policy
+  : checkbox
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+  and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
+extra_gated_button_content: Submit
+base_model_relation: quantized
+---
+
+This model is a quantized version of [`meta-llama/Llama-3.1-70B-Instruct`](https://huggingface.co/meta-llama/Llama-3.1-70B-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 = "AIFunOver/Llama-3.1-70B-Instruct-openvino-4bit"
+model = OVModelForCausalLM.from_pretrained(model_id)
+```