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2.5 KiB
2.5 KiB
Gemma2 gemma2
개요 overview
Gemma2 모델은 Google의 Gemma2 팀이 작성한 Gemma2: Open Models Based on Gemini Technology and Research에서 제안되었습니다. 파라미터 크기가 각각 90억(9B)과 270억(27B)인 두 가지 Gemma2 모델이 출시되었습니다.
블로그 게시물의 초록은 다음과 같습니다:
이제 우리는 전 세계의 연구자와 개발자들에게 Gemma 2를 공식적으로 출시합니다. 90억(9B)과 270억(27B) 파라미터 크기로 제공되는 Gemma 2는 1세대보다 더 높은 성능과 추론 효율성을 제공하며, 상당한 안전성 향상을 포함하고 있습니다. 사실 270억 규모의 모델은 크기가 두 배 이상인 모델과 비교해도 경쟁력 있는 대안을 제공하며, 이는 작년 12월까지만 해도 독점 모델에서만 가능했던 성능을 제공합니다.
팁:
- 원본 체크포인트는 변환 스크립트
src/transformers/models/Gemma2/convert_Gemma2_weights_to_hf.py를 사용하여 변환할 수 있습니다.
이 모델은 Arthur Zucker, Pedro Cuenca, Tom Arsen이 기여했습니다.
Gemma2Config transformers.Gemma2Config
autodoc Gemma2Config
Gemma2Model transformers.Gemma2Model
autodoc Gemma2Model - forward
Gemma2ForCausalLM transformers.Gemma2ForCausalLM
autodoc Gemma2ForCausalLM - forward
Gemma2ForSequenceClassification transformers.Gemma2ForSequenceClassification
autodoc Gemma2ForSequenceClassification - forward
Gemma2ForTokenClassification transformers.Gemma2ForTokenClassification
autodoc Gemma2ForTokenClassification - forward