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The llama-nemotron-embed-vl-1b-v2 is a high-performance multimodal embedding model designed to transform text queries and document images into dense vector representations for advanced retrieval systems. It…
NVIDIA Nemotron 3 Super is a hybrid Mixture-of-Experts (MoE) model engineered for highest compute efficiency and accuracy in multi-agent applications and specialized agentic systems. It is optimized to run…
The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text...
Generate video from text and videos using NVIDIA's 2B Cosmos Distilled Model
Generate video from text and videos using NVIDIA's 2B Cosmos Post-Trained Model
Generate video from text and images using NVIDIA's 2B Cosmos Post-Trained Model
Generate video from text using NVIDIA's 2B Cosmos Post-Trained Model
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...
NVIDIA's Logically Consistent and Physics-Aware Image Editing Model
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese,…
1B parameters · 25 languages · Encoder: Conformer-based · Decoder: Transformer
2.5B parameters · Encoder: Conformer-based · Decoder: Qwen2
0.64B parameters · 40 languages · Encoder: FastConformer (cache-aware) · Decoder: RNNT
0.62B parameters · Encoder: FastConformer (cache-aware) · Decoder: RNNT
1.1B parameters · Encoder: Conformer-based · Decoder: CTC
0.6B parameters · Encoder: Conformer-based · Decoder: TDT / RNN-T
0.6B parameters · Encoder: Conformer-based · Decoder: TDT
0.6B parameters · 26 languages · Encoder: Conformer-based · Decoder: TDT