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Optimized on H100/L40S with TensorRT-LLM and INT4/FP8 quantization recipes.",intended_use:"Cross-modal retrieval, zero-shot image classification, multimodal RAG (imageâtext similarity), as a vision tower in downstream multimodal LLMs. Served via NIM.",tags:["vision","embeddings","clip","multimodal","retrieval","zero-shot","nim"]},{id:"nvidia/nv-dinov2",name:"DINOv2 ViT-g/14 (NVIDIA-optimized)",provider:"NVIDIA",family:"DINOv2",version:"2.0",modality:"vision-embedding",release_date:"2023-04-14",release_date_source:"https://huggingface.co/facebook/dinov2-giant",release_date_verified_at:"2026-06-25T16:00:00Z",last_verified_at:"2026-06-25T16:00:00Z",huggingface_id:"facebook/dinov2-giant",huggingface_id_status:"manual",license:"apache-2.0",specialized_architecture:{type:"encoder",total_params_b:1.1,num_layers:40,hidden_dim:1536,notes:"Self-supervised vision transformer (ViT-g/14). Trained without labels via DINO (self-distillation with no labels) v2 on the LVD-142M curated image corpus. 14Ã14 patch size, 40 transformer blocks. Produces per-patch + CLS token embeddings that transfer to classification, segmentation, depth, and retrieval without fine-tuning. Originally published by Meta FAIR;
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Transformer text encoder + duration/pitch predictors + transformer decoder predicting 80-band mel-spectrogram frames. Designed to pair with a separate vocoder (HiFi-GAN) that converts mel-spectrograms to waveform. Non-autoregressive â predicts all frames in parallel for sub-real-time inference."},specialized_memory:{weights_bf16_gb:.09,activation_estimate_gb:.05},specialized_pricing:{kind:"free_open_weights"},description:"FastPitch is a parallel transformer-based mel-spectrogram generator that explicitly controls pitch and duration of speech. Packaged
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