Core values of Seed-X-7B in the field of multilingual translation
Seed-X-7B, developed by the ByteDance Seed team, is an open-source large language model based on the 7B Parameter Mistral architecture, specifically optimized for multilingual translation tasks. The model has been optimized through a three-phase optimization process of pre-training, instruction fine-tuning and reinforcement learning, and its translation quality has been comparable to top commercial models such as Gemini-2.5 and GPT-4o. The model supports inter-language translation in 28 languages, covering both high- and low-resource languages, and especially excels in processing texts in specialized fields such as Internet, technology, e-commerce, and biomedicine.
As an open-source solution, Seed-X-7B has significant advantages over closed-source commercial models: it provides complete model weights and code, and supports localized deployment; it adopts the efficient Mistral architecture, with 7B parameter scales to reduce the demand for computational resources while maintaining performance; and it provides both instruction fine-tuned version (Seed-X-Instruct-7B) and reinforcement learning optimized version ( Seed-X-PPO-7B) variants, the latter of which is optimized by the PPO algorithm to significantly improve translation accuracy and smoothness.
This answer comes from the articleSeed-X-7B: Efficient Multilingual Translation of Large ModelsThe
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