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README.md
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- **License:** apache-2.0
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- **Quantized from Model :** google/gemma-3-12b-it
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- **Quantization Method :** AWQ-INT4
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PyTorch has not performed safety evaluations or red teamed the quantized models. Performance characteristics, outputs, and behaviors may differ from the original models. Users are solely responsible for selecting appropriate use cases, evaluating and mitigating for accuracy, safety, and fairness, ensuring security, and complying with all applicable laws and regulations.
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Nothing contained in this Model Card should be interpreted as or deemed a restriction or modification to the licenses the models are released under, including any limitations of liability or disclaimers of warranties provided therein.
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- **License:** apache-2.0
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- **Quantized from Model :** google/gemma-3-12b-it
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- **Quantization Method :** AWQ-INT4
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- **Terms of Use**: [Terms][terms]
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PyTorch has not performed safety evaluations or red teamed the quantized models. Performance characteristics, outputs, and behaviors may differ from the original models. Users are solely responsible for selecting appropriate use cases, evaluating and mitigating for accuracy, safety, and fairness, ensuring security, and complying with all applicable laws and regulations.
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Nothing contained in this Model Card should be interpreted as or deemed a restriction or modification to the licenses the models are released under, including any limitations of liability or disclaimers of warranties provided therein.
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[terms]: https://ai.google.dev/gemma/terms
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