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README.md

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+---
+license: other
+license_name: llama3
+tags:
+- llama-3
+- conversational
+---
+# OxxoCodes/Meta-Llama-3-8B-Instruct-GPTQ
+*Built with Meta Llama 3*
+
+Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
+
+# Model Description
+This is a 4-bit GPTQ quantized version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
+
+This model was quantized using the following quantization config:
+```python
+quantize_config = BaseQuantizeConfig(
+    bits=4,
+    group_size=128,
+    desc_act=False,
+    damp_percent=0.1,
+)
+```
+
+To use this model, you need to install AutoGPTQ.
+For detailed installation instructions, please refer to the [AutoGPTQ GitHub repository](https://github.com/AutoGPTQ/AutoGPTQ).
+
+# Example Usage
+```python
+from auto_gptq import AutoGPTQForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
+model = AutoGPTQForCausalLM.from_quantized("OxxoCodes/Meta-Llama-3-8B-Instruct-GPTQ")
+
+output = model.generate(**tokenizer("The capitol of France is", return_tensors="pt").to(model.device))[0]
+print(tokenizer.decode(output))
+```