GPU-optimized AI, Machine Learning, & HPC Software

NVIDIA

A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.

Model

NVIDIA

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

PeopleNet

3 class object detection network to detect people in an image.

Model

NVIDIA

PeopleSemSegnet

Semantic segmentation of persons in an image.

Model

NVIDIA

Audio2Emotion Model

Audio2Emotion TRT Engine.

Model

NVIDIA

NVOF

NVOF is a deep learning based optical flow estimation and stereo matching solution.

Model

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

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

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 AI Enterprise

NVIDIA

Earth-2 FourCastNet SFNO

FourCastNet V2 model for predicting atmospheric dynamics.

Model

NVIDIA Deep Learning Examples

efficientnet-widese-b4 weights (PyTorch, AMP, ImageNet)

efficientnet-widese-b4 ImageNet pretrained weights

Model

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

TrafficCamNet

4 class object detection network to detect cars in an image.

Model

NVIDIA

Riva TTS English US Auxiliary Files

Contains files used in rmir creation

Model

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

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

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

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

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

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

Riva TTS English US Auxiliary Files

Contains files used in rmir creation

Model

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PeopleSegNet

1 class instance segmentation network to detect and segment instances of people in an image.

Model

NVIDIA Deep Learning Examples

GPUNet-0 pretrained weights (PyTorch, AMP, ImageNet)

GPUNet-0 ImageNet pretrained weights

Model