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@@ -24,57 +24,7 @@ datasets:
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  - OPUS
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  - HPLT
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  - Tatoeba
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- models:
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- - Helsinki-NLP
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- - QUICKMT
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- - Argos
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- - Lego-MT/Lego-MT
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- - HPLT
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- - HPLT-OPUS
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- - Google
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- - Helsinki-NLP/opus-mt-tc-bible-big-mul-mul
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- - Helsinki-NLP/opus-mt-tc-bible-big-mul-deu_eng_nld
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- - Helsinki-NLP/opus-mt-tc-bible-big-mul-deu_eng_fra_por_spa
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- - Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul
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- - Helsinki-NLP/opus-mt-tc-bible-big-roa-deu_eng_fra_por_spa
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- - Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-roa
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- - Helsinki-NLP/opus-mt-tc-bible-big-roa-en
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- - facebook/nllb-200-distilled-600M
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- - facebook/nllb-200-distilled-1.3B
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- - facebook/nllb-200-1.3B
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- - facebook/nllb-200-3.3B
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- - facebook/mbart-large-50-many-to-many-mmt
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- - facebook/mbart-large-50-one-to-many-mmt
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- - facebook/mbart-large-50-many-to-one-mmt
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- - facebook/m2m100_418M
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- - facebook/m2m100_1.2B
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- - bigscience/mt0-small
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- - bigscience/mt0-base
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- - bigscience/mt0-large
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- - bigscience/mt0-xl
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- - bigscience/bloomz-560m
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- - bigscience/bloomz-1b1
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- - bigscience/bloomz-1b7
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- - bigscience/bloomz-3b
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- - t5-small
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- - t5-base
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- - t5-large
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- - google/flan-t5-small
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- - google/flan-t5-base
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- - google/flan-t5-large
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- - google/flan-t5-xl
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- - google/madlad400-3b-mt
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- - jbochi/madlad400-3b-mt
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- - utter-project/EuroLLM-1.7B
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- - utter-project/EuroLLM-1.7B-Instruct
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- - Unbabel/Tower-Plus-2B
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- - Unbabel/TowerInstruct-7B-v0.2
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- - Unbabel/TowerInstruct-Mistral-7B-v0.2
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- - HuggingFaceTB/SmolLM3-3B
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- - winninghealth/WiNGPT-Babel-2
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- - tencent/Hunyuan-MT-7B
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- - openGPT-X/Teuken-7B-instruct-commercial-v0.4
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- - openGPT-X/Teuken-7B-instruct-v0.6
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  ---
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  ```text
 
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  - OPUS
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  - HPLT
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  - Tatoeba
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+ models: ["Helsinki-NLP", "QUICKMT", "Argos", "Lego-MT/Lego-MT", "HPLT", "HPLT-OPUS", "Google", "Helsinki-NLP/opus-mt-tc-bible-big-mul-mul", "Helsinki-NLP/opus-mt-tc-bible-big-mul-deu_eng_nld", "Helsinki-NLP/opus-mt-tc-bible-big-mul-deu_eng_fra_por_spa", "Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul", "Helsinki-NLP/opus-mt-tc-bible-big-roa-deu_eng_fra_por_spa", "Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-roa", "Helsinki-NLP/opus-mt-tc-bible-big-roa-en", "facebook/nllb-200-distilled-600M", "facebook/nllb-200-distilled-1.3B", "facebook/nllb-200-1.3B", "facebook/nllb-200-3.3B", "facebook/mbart-large-50-many-to-many-mmt", "facebook/mbart-large-50-one-to-many-mmt", "facebook/mbart-large-50-many-to-one-mmt", "facebook/m2m100_418M", "facebook/m2m100_1.2B", "alirezamsh/small100", "bigscience/mt0-small", "bigscience/mt0-base", "bigscience/mt0-large", "bigscience/mt0-xl", "bigscience/bloomz-560m", "bigscience/bloomz-1b1", "bigscience/bloomz-1b7", "bigscience/bloomz-3b", "t5-small", "t5-base", "t5-large", "google/flan-t5-small", "google/flan-t5-base", "google/flan-t5-large", "google/flan-t5-xl", "google/madlad400-3b-mt", "Heng666/madlad400-3b-mt-ct2", "Heng666/madlad400-3b-mt-ct2-int8", "Heng666/madlad400-7b-mt-ct2-int8", "BSC-LT/salamandraTA-2b-instruct", "BSC-LT/salamandraTA-7b-instruct", "utter-project/EuroLLM-1.7B", "utter-project/EuroLLM-1.7B-Instruct", "Unbabel/Tower-Plus-2B", "Unbabel/TowerInstruct-7B-v0.2", "Unbabel/TowerInstruct-Mistral-7B-v0.2", "HuggingFaceTB/SmolLM3-3B", "winninghealth/WiNGPT-Babel-2-1", "winninghealth/WiNGPT-Babel-2", "winninghealth/WiNGPT-Babel", "tencent/Hunyuan-MT-7B", "openGPT-X/Teuken-7B-instruct-commercial-v0.4", "openGPT-X/Teuken-7B-instruct-v0.6"]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ```text