A user on r/MachineLearning is seeking advice on the best text-to-text translation models for a project requiring translation of over 100 languages into English. They are encountering difficulties with preserving proper nouns like names, places, dates, and organizations, a problem that persists even with advanced NMT models like NLLB and LLMs such as Gemma 4 and Qwen 3 4B. The user is looking for solutions that can run locally on an RTX GPU, with models under 7B parameters, and is open to suggestions on better multilingual translation models, NER approaches, or decoding techniques. AI
RANK_REASON This is a user query on Reddit asking for advice on AI models, not a news announcement or research paper.
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