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README.md
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@@ -13,7 +13,10 @@ Original ALMA Model [ALMA-7B](https://huggingface.co/haoranxu/ALMA-7B). (26.95GB
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This model is GPTQ quantized version model that reduces model size(3.9GB) and memory usage, although the performance is probably lower.
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And translation ability for languages other than Japanese and English has deteriorated significantly.
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[Free Colab Sample](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_GPTQ_Ja_En_Free_Colab_sample.ipynb)
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**ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures strong translation performance.
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This model is GPTQ quantized version model that reduces model size(3.9GB) and memory usage, although the performance is probably lower.
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And translation ability for languages other than Japanese and English has deteriorated significantly.
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[Free Colab Sample](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_GPTQ_Ja_En_Free_Colab_sample.ipynb)
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If you want to translate the entire file at once, try Colab below.
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[ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample.ipynb)
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**ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures strong translation performance.
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