NVLM-D-72B

State-of-the-art multimodal large language model

CommonProductProductivity\AI\\Multimodal\

NVLM-D-72B is a multimodal large language model launched by NVIDIA, focusing on vision-language tasks, and enhancing text performance through multimodal training. The model has achieved results comparable to industry-leading models in vision-language benchmark tests.

\Supports vision-language tasks such as image caption generation and visual question answering.\
\Text performance is enhanced following multimodal training.\
\Supports multi-GPU inference
increasing computational efficiency.\
\Provides benchmark results for both Huggingface and Megatron codebases for easy comparison.\
\Employs a decoder-only architecture
focusing on text generation tasks.\
\Offers detailed preparation
loading
and inference guides.\

\The target audience includes AI researchers
data scientists
and machine learning engineers who require a robust multimodal model to handle complex visual and textual data. NVLM-D-72B's high performance and user-friendliness make it an ideal choice for these professionals.\

\Researchers utilize NVLM-D-72B for image caption generation experiments.\
\Data scientists employ the model for the development of visual question answering systems.\
\Machine learning engineers integrate the model into multimodal dialogue systems.\

\Environment Setup: Build the environment using the provided Dockerfile.\
\Model Loading: Load the model using the Huggingface AutoModel.from_pretrained method.\
\Multi-GPU Inference: Distribute the model across multiple GPUs using the provided sample code.\
\Image Preprocessing: Process input images using the build_transform and dynamic_preprocess functions.\
\Text Dialogue: Engage in pure text dialogue using the model's chat method.\

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