개요
Eagle은 NVIDIA가 선보인 최첨단 비전-언어 모델 시리즈로, 멀티모달 이해, 긴 컨텍스트 추론 및 임베디드 AI를 실현하기 위한 데이터 기반 전략을 탐구합니다. 여러 버전으로 구성되어 있으며, 범용 그라운딩, 탐지, 비디오 이해 등의 작업을 지원합니다.
README 미리보기
\n\n# 🦅 Eagle: Frontier Vision-Language Models with Data-Centric Strategies\n\n\n \n\n\n[](LICENSE)\n[](./Eagle2_5/LICENSE_MODEL)\n\n[[📘Eagle Report](Eagle/Eagle.pdf)] [[📘Eagle 2 Report](Eagle2_5/Eagle2.pdf)] [[📘Eagle 2.5 Report](Eagle2_5/Eagle2.5.pdf)] [[📘LocateAnything Report](https://research.nvidia.com/labs/lpr/locate-anything/LocateAnything.pdf)]\n\n[[🤗Model Collection](https://huggingface.co/collections/nvidia/eagle)] [[🤗LocateAnything Demo](https://huggingface.co/spaces/nvidia/LocateAnything)] [[🌐Project Page](https://nvlabs.github.io/Eagle/)]\n\n\n\n\n## Updates\n- [2026/06] 🎉 LocateAnything is accepted to [ECCV 2026](https://eccv.ecva.net/).\n- [2026/06] 🔥 Release [visual prompt fine-tuning script](./Embodied/shell/locate-anything-lora-visual-prompt.sh) for LocateAnything with LoRA fine-tuning.\n- [2026/06] 🔥 LocateAnything now supports [batch inference](./Embodied/) with a pure FlashAttention runtime — efficient inference on A100, RTX 4090, and other non-Hopper/Blackwell GPUs.\n- [2026/05] 🔥 Release [LocateAnything](./Embodied/) — A generalist vision-language grounding model based on Eagle.\n- [2025/12] 🎉 A native resolution variant of the Eagle model is adopted as the VLM backbone of [GR00T-N1.6](https://huggingface.co/collections/nvidia/gr00t-n16). Check out the [tech blog](https://research.nvidia.com/labs/gear/gr00t-n1_6/) for more details.\n- [2025/10] 🔥 Release Eagle 2.5 [source code](https://github.com/NVlabs/EAGLE/tree/main/Eagle2_5).\n- [2025/09] 🔥 Eagle 2.5 is accepted to [NeurIPS 2025](https://neurips.cc/Conferences/2025).\n- [2025/09] 🎉 Eagle 2 is supported in [Torch-TRT](https://github.com/pytorch/TensorRT/tree/main/tools/llm).\n- [2025/07] 🎉 Release Eagle 2.5 [model](https://huggingface.co/nvidia/Eagle2.5-8B).\n- [2025/06] 🔥 Eagle 2.5 is adopted as the VLM backbone of [GR00T-N1.5](https://huggingface.co/nvidia/GR00T-N1.5-3B). Check out the [tech blog](https://research.nvidia.com/labs/gear/gr00t-n1_5/) for more details.\n
FAQ (1)
문제 해결pip install peft를 실행한 후에도 Transformers ImportError: "This modeling file requires the following packages that were not found in your environment: peft" 오류를 해결하는 방법은?
문제 해결
pip install peft를 실행한 후에도 Transformers ImportError: "This modeling file requires the following packages that were not found in your environment: peft" 오류를 해결하는 방법은?패키지가 다른 Python 인터프리터에 설치되었거나, 설치가 불완전하거나, 최신 PEFT가 Transformers 4.37.2와 호환되지 않는 것일 수 있습니다. 활성화된 eagle conda 환경에서, 추론을 실행하는 것과 동일한 인터프리터를 사용하여 PEFT를 설치하세요:
which python
python -m pip --version
python -m pip install --force-reinstall --no-cache-dir peft
python -c "import peft; print(peft.__version__, peft.__file__)"임포트가 실패하거나 PEFT 0.15.x에서도 오류가 계속 발생하면, Transformers 4.37.2와 같은 시기에 출시된 릴리스를 설치하세요:
python -m pip install "peft==0.9.0"그런 다음 Python 프로세스를 재시작하고 inference.py를 다시 실행하세요. 다음 명령으로 두 패키지가 동일한 인터프리터에서 보이는지 확인하세요:
python -m pip list | grep -E "peft|transformers"