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Update README.md

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@@ -12,6 +12,7 @@ The size is smaller and the execution speed is faster, but the inference perform
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  ### sample code
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  At least one GPU is currently required due to a limitation of the Accelerate library.
 
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  ```
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  pip install auto-gptq
@@ -40,13 +41,16 @@ output = model.generate(input_ids=tokens, max_new_tokens=100, do_sample=True, te
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  print(tokenizer.decode(output[0]))
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  ```
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- ### See Also
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  https://github.com/PanQiWei/AutoGPTQ/blob/main/docs/tutorial/01-Quick-Start.md
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  ### Benchmark
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- The results below are preliminary. The blank part is under measurement.
 
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  * **Japanese benchmark**
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  ### sample code
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  At least one GPU is currently required due to a limitation of the Accelerate library.
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+ So this model cannot be run with the huggingface space free version.
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  ```
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  pip install auto-gptq
 
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  print(tokenizer.decode(output[0]))
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  ```
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+ ### Other documents
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  https://github.com/PanQiWei/AutoGPTQ/blob/main/docs/tutorial/01-Quick-Start.md
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+ ### Original Authors
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+ Takeshi Kojima
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  ### Benchmark
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+ The results below are preliminary. The blank part is under measurement.
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+ Also, the score may change as a result of tuning after this.
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  * **Japanese benchmark**
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