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This is 8-bit GPTQ version of [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct).
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Quantization has been done using
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### Use with transformers
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Starting with `transformers >= 4.43.0` onward, you can run conversational inference using the Transformers `pipeline` abstraction or by leveraging the Auto classes with the `generate()` function.
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Make sure to update your transformers installation via `pip install --upgrade transformers` and you have
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```bash
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!pip install auto-gptq optimum --quiet
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This is 8-bit GPTQ version of [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct).
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Quantization has been done using [AutoGPTQ](https://github.com/AutoGPTQ/AutoGPTQ) library.
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### Use with transformers
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Starting with `transformers >= 4.43.0` onward, you can run conversational inference using the Transformers `pipeline` abstraction or by leveraging the Auto classes with the `generate()` function.
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Make sure to update your transformers installation via `pip install --upgrade transformers` and you have Autogptq, optimum installed.
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```bash
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!pip install auto-gptq optimum --quiet
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