Phi 3.5 Vision
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Analyze artwork images and answer questions about them
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NVIDIA just dropped a gigantic multimodal model called NVLM 72B š¦
nvidia/NVLM-D-72B
Paper page NVLM: Open Frontier-Class Multimodal LLMs (2409.11402)
The paper contains many ablation studies on various ways to use the LLM backbone šš»
š¦© Flamingo-like cross-attention (NVLM-X)
š Llava-like concatenation of image and text embeddings to a decoder-only model (NVLM-D)
āØ a hybrid architecture (NVLM-H)
Checking evaluations, NVLM-D and NVLM-H are best or second best compared to other models š
The released model is NVLM-D based on Qwen-2 Instruct, aligned with InternViT-6B using a huge mixture of different datasets
You can easily use this model by loading it through transformers' AutoModel š
nvidia/NVLM-D-72B
Paper page NVLM: Open Frontier-Class Multimodal LLMs (2409.11402)
The paper contains many ablation studies on various ways to use the LLM backbone šš»
š¦© Flamingo-like cross-attention (NVLM-X)
š Llava-like concatenation of image and text embeddings to a decoder-only model (NVLM-D)
āØ a hybrid architecture (NVLM-H)
Checking evaluations, NVLM-D and NVLM-H are best or second best compared to other models š
The released model is NVLM-D based on Qwen-2 Instruct, aligned with InternViT-6B using a huge mixture of different datasets
You can easily use this model by loading it through transformers' AutoModel š
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If you feel like you missed out for ECCV 2024, there's an app to browse the papers, rank for popularity, filter for open models, datasets and demos š
Get started at https://huggingface.co/spaces/ECCV/ECCV2024-papers āØ
Get started at https://huggingface.co/spaces/ECCV/ECCV2024-papers āØ
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