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🌐 [i18n-KO] Translated compressed_tensor.md to Korean#39517

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maximizemaxwell wants to merge 16 commits into
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maximizemaxwell:ko-compressed_tensor.md
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🌐 [i18n-KO] Translated compressed_tensor.md to Korean#39517
maximizemaxwell wants to merge 16 commits into
huggingface:mainfrom
maximizemaxwell:ko-compressed_tensor.md

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@maximizemaxwell

@maximizemaxwell maximizemaxwell commented Jul 19, 2025

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What does this PR do?

Translated the compressed_tensor.md file of the documentation to Korean.
Thank you in advance for your review.

Part of #20179

Before reviewing

  • Check for missing / redundant translations (번역 누락/중복 검사)
  • Grammar Check (맞춤법 검사)
  • Review or Add new terms to glossary (용어 확인 및 추가)
  • Check Inline TOC (e.g. [[lowercased-header]])
  • Check live-preview for gotchas (live-preview로 정상작동 확인)

Who can review? (Initial)

May you please review this PR?
@4N3MONE, @yijun-lee, @jungnerd , @harheem

Before submitting

  • This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
  • Did you read the contributor guideline,
    Pull Request section?
  • Was this discussed/approved via a Github issue or the forum? Please add a link
    to it if that's the case.
  • Did you make sure to update the documentation with your changes? Here are the
    documentation guidelines, and
    here are tips on formatting docstrings.
  • Did you write any new necessary tests?

Who can review? (Final)

@4N3MONE

4N3MONE commented Jul 19, 2025

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번역 고생하셨습니다.

번역하신 내용을 읽으면서 23,25,96라인에 씌여 있는 '활성화' 라는 표현이 적절하게 글의 원래 의도를 나타내고 있지 못한 것 같아서 이 부분을 어떻게 하면 더 적절하게 표현할 수 있을 지 고민해보면 좋을 것 같아요!

인터넷을 찾아봐도 적절한 표현이 없는 것 같아서 우선 고민해본 몇 가지 번역 제안을 드립니다.

활성화 양자화 -> 활성화 함수 기반 양자화
활성화 정밀도 -> 활성화 함수 출력 정밀도

@maximizemaxwell

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제안해주신 단어를 반영하였고, line 96의 문장은 전반적으로 구조를 약간 바꾸었습니다,

@Rocketknight1

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cc @stevhliu

@harheem harheem left a comment

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은수님 좋은 번역 정말 감사합니다 ☺️
잘 읽히는 글이라 조금 욕심을 내서 수정 제안을 해보았습니다.

22~28 라인은 문장형인 것이 있고 단어로 끝나는 것이 있어서 단어로 끝나게 통일해보았습니다. 문장형으로 모두 통일하셔도 좋을 것 같아요! 편하게 의견주세요.


[compressed-tensors](https://github.com/neuralmagic/compressed-tensors)는 [safetensors](https://github.com/huggingface/safetensors) 파일을 압축된 텐서 데이터 타입으로 확장해서, dense, int 양자화(int8), float 양자화(fp8), pack 양자화(int32로 패킹된 int4 또는 int8 가중치 양자화) 등 다양한 양자화·sparse 형식을 하나의 체크포인트 형식으로 저장하고 불러올 수 있게 합니다.

compressed-tensors는 [PEFT](https://huggingface.co/docs/peft)를 사용한 파인튜닝을 지원하며, 다음과 같은 기능들을 제공합니다.

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Suggested change
compressed-tensors는 [PEFT](https://huggingface.co/docs/peft)를 사용한 파인튜닝을 지원하며, 다음과 같은 기능들을 제공합니다.
compressed-tensors는 [PEFT](https://huggingface.co/docs/peft)를 사용한 미세 조정을 지원하며, 다음과 같은 기능들을 제공합니다.

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glossary에 따라 '미세 조정'으로 수정하였습니다

Comment thread docs/source/ko/quantization/compressed_tensors.md Outdated

compressed-tensors는 [PEFT](https://huggingface.co/docs/peft)를 사용한 파인튜닝을 지원하며, 다음과 같은 기능들을 제공합니다.

- fp8, int4, int8 가중치 및 활성화 함수 출력 정밀도.

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Suggested change
- fp8, int4, int8 가중치 및 활성화 함수 출력 정밀도.
- fp8, int4, int8 가중치 및 활성화 함수 출력 정밀도

Comment thread docs/source/ko/quantization/compressed_tensors.md
Comment thread docs/source/ko/quantization/compressed_tensors.md
Comment thread docs/source/ko/quantization/compressed_tensors.md Outdated
Comment thread docs/source/ko/quantization/compressed_tensors.md Outdated
Comment thread docs/source/ko/quantization/compressed_tensors.md

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Thanks all, I'll merge once comments have been resolved! 🤗

maximizemaxwell and others added 4 commits July 22, 2025 01:20
@maximizemaxwell maximizemaxwell marked this pull request as ready for review July 22, 2025 12:06

@jungnerd jungnerd left a comment

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일부 리뷰해보았습니다. 참고 부탁드려요!

Comment thread docs/source/ko/quantization/compressed_tensors.md Outdated
Comment thread docs/source/ko/quantization/compressed_tensors.md Outdated
Comment thread docs/source/ko/quantization/compressed_tensors.md Outdated

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LGTM! 🤗

@stevhliu

stevhliu commented Aug 4, 2025

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Thanks! Would you mind resolving the conflict before we merge please? 🤗

@jungnerd

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@maximizemaxwell 충돌만 해결하면 머지될 것 같습니닷! 확인 부탁드립니다!

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6 participants