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kimseunguk/converge-slot-extractor

AI model by kimseunguk

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한국어 현장 집결 조율 문장에서 슬롯 정보를 추출해 JSON으로 출력하는 GGUF 모델 3종이다. 도메인은 함정 정비(shipmaintenance)와 SI 배포(sideploy) 두 가지다. Colab T4에서 QLoRA로 학습한 뒤 llama.cpp로 Q4KM 양자화했다. 실행에는 각 GGUF와 짝인 .prompt.json(프롬프트 앞뒤 문자열)과 grammar.gbnf(출력 JSON 문법)가 함께 필요하다. 두 파일은 학습 저장소의 Drive 경로(runs//gguf/, finetune/export/grammar.gbnf)에 있다. 입력 문장 예: "오후 2시 마곡 고객사 미팅. 대리님이 차 있어서 부천 지하철역 앞에서 나 태우고 감. 장비 있어서 대리님 성북구, 나 부천. 각자 언제 나가?" 출력 예 (학습 데이터 실제 정답): 최상위 키 11개: preset, datetime, purpose, destination, participants, rendezvous, access,…

kimseunguk/converge-slot-extractor on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T15:01:53.947Z

Inside the original model card — Document outline
  1. converge-slot-extractor
  2. 파일
  3. 하는 일
  4. 출력 스키마
  5. 학습 데이터
  6. 학습 설정
  7. 결과 (valid 40건, 2026-09-18 측정)
  8. GGUF CPU 스모크 테스트 (스레드 2)
  9. 베이스 모델 라이선스
  10. 사용 예시

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Model overview

kimseunguk/converge-slot-extractor is a task-unspecified model repository published by kimseunguk on Hugging Face. A library was not reported.

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Task
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Library
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Recent downloads (30 days)
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Architecture
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License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-17T06:11:15.000Z
Last modified
2026-09-17T06:26:47.000Z

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Reported languages: ko

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Source: Hugging Face Hub. Metadata observed 2026-09-17T06:34:58.770Z. Daily imports are snapshots, not real-time monitoring.

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