Text Generation
Transformers
Safetensors
English
Korean
llama
translation
enko
conversational
text-generation-inference
Inference Endpoints
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@@ -98,14 +98,14 @@ code: [TBD]
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  | **nayohan/llama3-8b-it-translation-general-en-ko-1sent** | 15.7875 | 8.09 | 4.445 | 4.68 | 8.2506 |
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  | **nayohan/llama3-instrucTrans-enko-8b** | 16.3938 | 9.63 | 5.405 | 5.3225 | 9.1878 |
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  | **nayohan/llama3-8b-it-general-trc313k-enko-8k** | 14.7225 | 10.47 | 4.45 | 7.555 | 9.2994 |
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- | **EXAONE** | | | | | |
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- | **CarrotAI/EXAONE-3.0-7.8B-Instruct-Llamafied-8k** | 4.9375 | 4.9 | 1.58 | 8.215 | 4.9081 |
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- | **Translation-EnKo/exaeon3-translation-general-enko-7.8b (private)** | 17.8275 | 8.56 | 2.72 | 6.31 | 8.8544 |
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- | **Translation-EnKo/exaone3-instrucTrans-v2-enko-7.8b** | 19.6075 | 13.46 | 7.28 | 11.4425 | **12.9475**|
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  | **Gemma** | | | | | |
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  | **Translation-EnKo/gemma-2-2b-it-general1.2m-trc313eval45** | 13.7775 | 7.88 | 3.95 | 6.105 | 7.9281 |
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  | **Translation-EnKo/gemma-2-9b-it-general1.2m-trc313eval45** | 18.9887 | 13.215 | 6.28 | 9.975 | 12.1147 |
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  | **Translation-EnKo/gukbap-gemma-2-9b-it-general1.2m-trc313eval45** | 18.405 | 12.44 | 6.59 | 9.64 | 11.7688 |
 
 
 
 
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  ### 학습 데이터셋 별 성능 분석
@@ -116,14 +116,14 @@ code: [TBD]
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  | llama3-8b-it-general1.2m-en-ko-4k | 15.7875 | 8.09 | 4.445 | 4.68 | **8.2506** |
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  | llama3-8b-it-general1.2m-trc313k-enko-4k | 16.3938 | 9.63 | 5.405 | 5.3225 | **9.1878** |
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  | llama3-8b-it-general1.2m-trc313k-enko-8k | 14.7225 | 10.47 | 4.45 | 7.555 | **9.2994** |
119
- | **EXAONE** | | | | | |
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- | EXAONE-3.0-7.8B-Instruct | 4.9375 | 4.9 | 1.58 | 8.215 | **4.9081** |
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- | EXAONE-3.0-7.8B-Instruct-general12m (private) | 17.8275 | 8.56 | 2.72 | 6.31 | **8.8544** |
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- | EXAONE-3.0-7.8B-Instruct-general12m-trc1400k-trc313eval45 | 19.6075 | 13.46 | 7.28 | 11.4425| **12.9475** |
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  | **Gemma** | | | | | |
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  | gemma-2-2b-it-general1.2m-trc313eval45 | 13.7775 | 7.88 | 3.95 | 6.105 | **7.9281** |
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  | gemma-2-9b-it-general1.2m-trc313eval45 | 18.9887 | 13.215 | 6.28 | 9.975 | **12.1147** |
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  | gukbap-gemma-2-9b-it-general1.2m-trc313eval45 | 18.405 | 12.44 | 6.59 | 9.64 | **11.7688** |
 
 
 
 
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  ### **Citation**
 
98
  | **nayohan/llama3-8b-it-translation-general-en-ko-1sent** | 15.7875 | 8.09 | 4.445 | 4.68 | 8.2506 |
99
  | **nayohan/llama3-instrucTrans-enko-8b** | 16.3938 | 9.63 | 5.405 | 5.3225 | 9.1878 |
100
  | **nayohan/llama3-8b-it-general-trc313k-enko-8k** | 14.7225 | 10.47 | 4.45 | 7.555 | 9.2994 |
 
 
 
 
101
  | **Gemma** | | | | | |
102
  | **Translation-EnKo/gemma-2-2b-it-general1.2m-trc313eval45** | 13.7775 | 7.88 | 3.95 | 6.105 | 7.9281 |
103
  | **Translation-EnKo/gemma-2-9b-it-general1.2m-trc313eval45** | 18.9887 | 13.215 | 6.28 | 9.975 | 12.1147 |
104
  | **Translation-EnKo/gukbap-gemma-2-9b-it-general1.2m-trc313eval45** | 18.405 | 12.44 | 6.59 | 9.64 | 11.7688 |
105
+ | **EXAONE** | | | | | |
106
+ | **CarrotAI/EXAONE-3.0-7.8B-Instruct-Llamafied-8k** | 4.9375 | 4.9 | 1.58 | 8.215 | 4.9081 |
107
+ | **Translation-EnKo/exaeon3-translation-general-enko-7.8b (private)** | 17.8275 | 8.56 | 2.72 | 6.31 | 8.8544 |
108
+ | **Translation-EnKo/exaone3-instrucTrans-v2-enko-7.8b** | 19.6075 | 13.46 | 7.28 | 11.4425 | **12.9475**|
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  ### 학습 데이터셋 별 성능 분석
 
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  | llama3-8b-it-general1.2m-en-ko-4k | 15.7875 | 8.09 | 4.445 | 4.68 | **8.2506** |
117
  | llama3-8b-it-general1.2m-trc313k-enko-4k | 16.3938 | 9.63 | 5.405 | 5.3225 | **9.1878** |
118
  | llama3-8b-it-general1.2m-trc313k-enko-8k | 14.7225 | 10.47 | 4.45 | 7.555 | **9.2994** |
 
 
 
 
119
  | **Gemma** | | | | | |
120
  | gemma-2-2b-it-general1.2m-trc313eval45 | 13.7775 | 7.88 | 3.95 | 6.105 | **7.9281** |
121
  | gemma-2-9b-it-general1.2m-trc313eval45 | 18.9887 | 13.215 | 6.28 | 9.975 | **12.1147** |
122
  | gukbap-gemma-2-9b-it-general1.2m-trc313eval45 | 18.405 | 12.44 | 6.59 | 9.64 | **11.7688** |
123
+ | **EXAONE** | | | | | |
124
+ | EXAONE-3.0-7.8B-Instruct | 4.9375 | 4.9 | 1.58 | 8.215 | **4.9081** |
125
+ | EXAONE-3.0-7.8B-Instruct-general12m (private) | 17.8275 | 8.56 | 2.72 | 6.31 | **8.8544** |
126
+ | EXAONE-3.0-7.8B-Instruct-general12m-trc1400k-trc313eval45 | 19.6075 | 13.46 | 7.28 | 11.4425| **12.9475** |
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  ### **Citation**