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@@ -28,4 +28,4 @@ model = AutoGPTQForCausalLM.from_quantized(model_name)
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  |smpanaro/gpt2-medium-AutoGPTQ-4bit-128g|19.1719|18.4739|0.698|
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  |[smpanaro/gpt2-large-AutoGPTQ-4bit-128g](https://huggingface.co/smpanaro/gpt2-large-AutoGPTQ-4bit-128g)|16.6875|16.4541|0.2334|
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  |[smpanaro/gpt2-xl-AutoGPTQ-4bit-128g](https://huggingface.co/smpanaro/gpt2-xl-AutoGPTQ-4bit-128g)|14.9297|14.7951|0.1346|
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- <sub>Wikitext perplexity measured as in the [huggingface docs](https://huggingface.co/docs/transformers/en/perplexity)</sub>
 
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  |smpanaro/gpt2-medium-AutoGPTQ-4bit-128g|19.1719|18.4739|0.698|
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  |[smpanaro/gpt2-large-AutoGPTQ-4bit-128g](https://huggingface.co/smpanaro/gpt2-large-AutoGPTQ-4bit-128g)|16.6875|16.4541|0.2334|
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  |[smpanaro/gpt2-xl-AutoGPTQ-4bit-128g](https://huggingface.co/smpanaro/gpt2-xl-AutoGPTQ-4bit-128g)|14.9297|14.7951|0.1346|
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+ <sub>Wikitext perplexity measured as in the [huggingface docs](https://huggingface.co/docs/transformers/en/perplexity), lower is better</sub>