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@@ -26,12 +26,6 @@ Our GPTQ-based quantization methods achieve **superior quality-compression trade
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  - **Error-correcting updates** during calibration for improved accuracy
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  - **Optimized configurations** that allocate bits based on layer sensitivity (EvoPress)
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- | Method | Avg Bits | C4 PPL | WikiText2 PPL |
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- |--------|----------|--------|---------------|
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- | GPTQ-4 | 4.50 | 11.35 | 6.89 |
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- | EvoPress-GPTQ-4 | 4.50 | 11.35 | 6.89 |
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- | EvoPress-GPTQ-5 | 5.51 | 11.13 | 6.79 |
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  ## Usage
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  Compatible with llama.cpp and all GGUF-supporting inference engines. No special setup required.
 
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  - **Error-correcting updates** during calibration for improved accuracy
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  - **Optimized configurations** that allocate bits based on layer sensitivity (EvoPress)
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  ## Usage
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  Compatible with llama.cpp and all GGUF-supporting inference engines. No special setup required.