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Llama-2-7b-NuGPTQ

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@@ -5,7 +5,7 @@ metrics:
 - perplexity
 base_model:
 - meta-llama/Llama-2-7b-hf
-quantized_by: smpanaro
 ---
 **N**on-**u**niform **GPTQ** (NuGPTQ) combines [GPTQ](https://arxiv.org/abs/2210.17323), [SqueezeLLM](https://arxiv.org/abs/2306.07629) and [output scaling](https://stephenpanaro.com/blog/llm-quantization-for-iphone) for a competitive whole-tensor (no grouping) LLM compression method.

 - perplexity
 base_model:
 - meta-llama/Llama-2-7b-hf
+base_model_relation: quantized
 ---
 **N**on-**u**niform **GPTQ** (NuGPTQ) combines [GPTQ](https://arxiv.org/abs/2210.17323), [SqueezeLLM](https://arxiv.org/abs/2306.07629) and [output scaling](https://stephenpanaro.com/blog/llm-quantization-for-iphone) for a competitive whole-tensor (no grouping) LLM compression method.