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[GH-ISSUE #11655] Support Seed-X #54217

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opened 2026-04-29 05:24:19 -05:00 by GiteaMirror · 0 comments
GiteaMirror commented 2026-04-29 05:24:19 -05:00
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Originally created by @Leroy-X on GitHub (Aug 4, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/11655

https://huggingface.co/ByteDance-Seed/Seed-X-PPO-7B
https://huggingface.co/ByteDance-Seed/Seed-X-Instruct-7B

Introduction
We are excited to introduce Seed-X, a powerful series of open-source multilingual translation language models, including an instruction model, a reinforcement learning model, and a reward model. It pushes the boundaries of translation capabilities within 7 billion parameters. We develop Seed-X as an accessible, off-the-shelf tool to support the community in advancing translation research and applications:

  • Exceptional translation capabilities: Seed-X exhibits state-of-the-art translation capabilities, on par with or outperforming ultra-large models like Gemini-2.5, Claude-3.5, and GPT-4, as validated by human evaluations and automatic metrics.
  • Deployment and inference-friendly: With a compact 7B parameter count and mistral architecture, Seed-X offers outstanding translation performance in a lightweight and efficient package, ideal for deployment and inference.
  • Broad domain coverage: Seed-X excels on a highly challenging translation test set spanning diverse domains, including the internet, science and technology, office dialogues, e-commerce, biomedicine, finance, law, literature, and entertainment.
Originally created by @Leroy-X on GitHub (Aug 4, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/11655 https://huggingface.co/ByteDance-Seed/Seed-X-PPO-7B https://huggingface.co/ByteDance-Seed/Seed-X-Instruct-7B Introduction We are excited to introduce Seed-X, a powerful series of open-source multilingual translation language models, including an instruction model, a reinforcement learning model, and a reward model. It pushes the boundaries of translation capabilities within 7 billion parameters. We develop Seed-X as an accessible, off-the-shelf tool to support the community in advancing translation research and applications: - Exceptional translation capabilities: Seed-X exhibits state-of-the-art translation capabilities, on par with or outperforming ultra-large models like Gemini-2.5, Claude-3.5, and GPT-4, as validated by human evaluations and automatic metrics. - Deployment and inference-friendly: With a compact 7B parameter count and mistral architecture, Seed-X offers outstanding translation performance in a lightweight and efficient package, ideal for deployment and inference. - Broad domain coverage: Seed-X excels on a highly challenging translation test set spanning diverse domains, including the internet, science and technology, office dialogues, e-commerce, biomedicine, finance, law, literature, and entertainment.
GiteaMirror added the model label 2026-04-29 05:24:19 -05:00
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Reference: github-starred/ollama#54217
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