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--- |
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base_model: meta-llama/Llama-Guard-3-1B |
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language: |
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- en |
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- de |
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- fr |
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- it |
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- pt |
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- hi |
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- es |
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- th |
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library_name: transformers |
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license: llama3.2 |
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pipeline_tag: text-generation |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- llama |
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- llama-3 |
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- openvino |
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- nncf |
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- fp16 |
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extra_gated_fields: |
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First Name: text |
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Last Name: text |
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Date of birth: date_picker |
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Country: country |
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Affiliation: text |
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Job title: |
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type: select |
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options: |
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- Student |
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- Research Graduate |
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- AI researcher |
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- AI developer/engineer |
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- Reporter |
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- Other |
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geo: ip_location |
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? By clicking Submit below I accept the terms of the license and acknowledge that |
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the information I provide will be collected stored processed and shared in accordance |
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: checkbox |
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extra_gated_description: The information you provide will be collected, stored, processed |
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and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/). |
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extra_gated_button_content: Submit |
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--- |
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|
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This model is a quantized version of [`meta-llama/Llama-Guard-3-1B`](https://huggingface.co/meta-llama/Llama-Guard-3-1B) 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 = "AIFunOver/Llama-Guard-3-1B-openvino-fp16" |
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model = OVModelForCausalLM.from_pretrained(model_id) |
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``` |
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