Update README.md
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README.md
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@@ -65,7 +65,7 @@ Hermes-3-Llama-3.1-70B 베이스모델을 사용해서 H100-80G 8개를 통해
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Finetuned by Mr. Yunsung Ji (Saxo), a data scientist at Linkbricks, a company specializing in AI and big data analytics <br>
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about 20% of total parameters Japanese CPT(Continued-Pretraining)->SFT->DPO training model based on Hermes-3-Llama-3.1-70B through 8 H100-80Gs as a Japanese boosting language model <br>
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It is a model that has been trained to handle Japanese-Korean-Chinese-English cross-training data and
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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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-Function Calling<br>
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Finetuned by Mr. Yunsung Ji (Saxo), a data scientist at Linkbricks, a company specializing in AI and big data analytics <br>
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| 67 |
about 20% of total parameters Japanese CPT(Continued-Pretraining)->SFT->DPO training model based on Hermes-3-Llama-3.1-70B through 8 H100-80Gs as a Japanese boosting language model <br>
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It is a model that has been trained to handle Japanese-Korean-Chinese-English cross-training data and 20M Japanese 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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| 70 |
-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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| 71 |
-Function Calling<br>
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