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Displaying 861 results

monai_spleen_ct_segmentation
NVIDIA
A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
Model
Audio2Face-3D 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
PeopleNet
NVIDIA
3 class object detection network to detect people in an image.
Model
PeopleSemSegnet
NVIDIA
Semantic segmentation of persons in an image.
Model
Audio2Emotion Model
NVIDIA
Audio2Emotion TRT Engine.
Model
NVOF
NVIDIA
NVOF is a deep learning based optical flow estimation and stereo matching solution.
Model
Llama 3.2 1B Instruct
Meta
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
Llama 3.1 8B Instruct
Meta
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
Llama 3.1 70B Instruct
Meta
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
Earth-2 FourCastNet SFNO
NVIDIA
FourCastNet V2 model for predicting atmospheric dynamics.
Model
efficientnet-widese-b4 weights (PyTorch, AMP, ImageNet)
NVIDIA Deep Learning Examples
efficientnet-widese-b4 ImageNet pretrained weights
Model
Meta Llama 3 70B Instruct
Meta
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
Snowflake Arctic Embed Large Embedding
—
Text Embedding
Model
TrafficCamNet
NVIDIA
4 class object detection network to detect cars in an image.
Model
Riva TTS English US Auxiliary Files
NVIDIA
Contains files used in rmir creation
Model
Llama 3.3 70B Instruct
Meta
The Meta Llama 3.3 multilingual large language model (LLM) is an instruction-tuned generative model in 70B (text in/text out).
Model
Llama 3.2 3B Instruct
Meta
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
Phi-4
Microsoft
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
ChatGLM3-6B Chat Int4
Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University
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
DLPP
NVIDIA
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
Llama 3.1 8B
Meta
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
Mask Grounding DINO CC
NVIDIA
Open vocabulary multi-modal instance segmentation model trained on commercial data.
Model
Llama 3.2 1B
Meta
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
Riva TTS English US Auxiliary Files
NVIDIA
Contains files used in rmir creation
Model
1-24 of 861 items

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