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@@ -54,7 +54,7 @@ Finetuned by Mr. Yunsung Ji (Saxo), a data scientist at Linkbricks, a company sp
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  CPT(Continue-Pretraining)->SFT->DPO training model based on gemma-2-27b-it through 8 H100-80Gs as a Korean language model <br>
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  It is a model that has been trained to handle Korean-Chinese-English-Japanese cross-training data and 10M korean news corpus and logic judgment data for various tasks to enable cross-fertilization processing and complex Korean logic & math problems. <br>
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  -Tokenizer uses the base model without word expansion<br>
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- -Models enhanced with high-dimensional analysis of customer reviews and social posts, as well as coding, writing, amth and decision making<br>
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  -128k-Context Window<br>
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  -Deepspeed Stage=3, use rslora and BAdam Layer Mode<br>
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  <br><br>
 
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  CPT(Continue-Pretraining)->SFT->DPO training model based on gemma-2-27b-it through 8 H100-80Gs as a Korean language model <br>
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  It is a model that has been trained to handle Korean-Chinese-English-Japanese cross-training data and 10M korean news corpus and logic judgment data for various tasks to enable cross-fertilization processing and complex Korean logic & math problems. <br>
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  -Tokenizer uses the base model without word expansion<br>
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+ -Models enhanced with high-dimensional analysis of customer reviews and social posts, as well as coding, writing, math and decision making<br>
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  -128k-Context Window<br>
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  -Deepspeed Stage=3, use rslora and BAdam Layer Mode<br>
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  <br><br>