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@@ -26,7 +26,7 @@ PROUDLY PRESENTS
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  ## experiment_1_8b-iMat-GGUF
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- <b>Quantization Note: Use repetition penalty (--repeat-penalty on llama.cpp) of 1.05 - 1.15 for best results </b>
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  Quantized from fp16 with love.
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  * Weighted quantizations were created using fp16 GGUF and [groups_merged-enhancedV2-TurboMini.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-9432658) in 189 chunks and n_ctx=512
 
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  ## experiment_1_8b-iMat-GGUF
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+ <b>Quantization Note: Use repetition penalty (--repeat-penalty on llama.cpp) of ~1.15 for best results </b>
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  Quantized from fp16 with love.
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  * Weighted quantizations were created using fp16 GGUF and [groups_merged-enhancedV2-TurboMini.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-9432658) in 189 chunks and n_ctx=512