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Displaying 892 results
NVIDIA
NVIDIA
monai_spleen_ct_segmentation
A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
Model
NVIDIA
NVIDIA
Audio2Face-3D Model
NVIDIA Audio2Face is a microservice for animating 3D character's facial characteristics to match any audio track, whether for a game, film, or real-time digital assistant.
Model
NVIDIA
NVIDIA
Audio2Emotion Model
Audio2Emotion TRT Engine.
Model
NVIDIA
NVIDIA
PeopleSemSegnet
Semantic segmentation of persons in an image.
Model
NVIDIA
NVIDIA
NVOF
NVOF is a deep learning based optical flow estimation and stereo matching solution.
Model
NVIDIA
NVIDIA
PeopleNet
3 class object detection network to detect people in an image.
Model
Meta
Meta
Llama 3.2 1B Instruct
The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).
Model
Meta
Meta
Llama 3.1 8B Instruct
The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes (text in/text out).
Model
Meta
Meta
Llama 3.1 70B Instruct
The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes (text in/text out).
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
efficientnet-widese-b4 weights (PyTorch, AMP, ImageNet)
efficientnet-widese-b4 ImageNet pretrained weights
Model
NVIDIA AI Enterprise
NVIDIA
NVIDIA
Earth-2 FourCastNet SFNO
FourCastNet V2 model for predicting atmospheric dynamics.
Model
Meta
Meta
Meta Llama 3 70B Instruct
Meta-Llama-3-70B-Instruct is an instruct-tuned decoder-only, text-to-text model. The instruction-tuning uses supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.
Model
NVIDIA
NVIDIA
TrafficCamNet
4 class object detection network to detect cars in an image.
Model
NVIDIA
NVIDIA
Riva TTS English US Auxiliary Files
Contains files used in rmir creation
Model
Meta
Meta
Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is an instruction-tuned generative model in 70B (text in/text out).
Model
Meta
Meta
Llama 3.2 3B Instruct
The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).
Model
Microsoft
Microsoft
Phi-4
Phi-4 is a state-of-the-art open model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. Source: https://huggingface.co/microsoft/phi-4
Model
Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University
ChatGLM3-6B Chat Int4
ChatGLM3-6B is the latest open-source model in the ChatGLM series. ChatGLM3-6B introduces the following features (1) More Powerful Base Model (2) More Comprehensive Function Support (3) More Comprehensive Open-source Series.
Model
NVIDIA
NVIDIA
DLPP
DLPP is a family of lightweight deep-learning networks trained for video post-processing. The model's introduction can be found at https://blogs.nvidia.com/blog/rtx-video-super-resolution/. To the public, it is also known as RTX VSR.
Model
Meta
Meta
Llama 3.1 8B
The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out).
Model
Meta
Meta
Llama 3.2 1B
The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).
Model
NVIDIA
NVIDIA
Riva TTS English US Auxiliary Files
Contains files used in rmir creation
Model
—
PeopleSegNet
1 class instance segmentation network to detect and segment instances of people in an image.
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
GPUNet-0 pretrained weights (PyTorch, AMP, ImageNet)
GPUNet-0 ImageNet pretrained weights
Model
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