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Displaying 39 results

PyTorch
NVIDIA
PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
Container
This container houses the Llama-3.3-Nemotron-Super-49B-v1.5, which is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct
Container
nemo-rl
NVIDIA
NVIDIA NeMo™ RL accelerates reinforcement learning post-training with high-performance GPU backends, offering scalable GRPO, DPO, SFT, and distillation for multimodal models from single-node experiments to enterprise-scale clusters.
Container
NVIDIA NIM for GPU accelerated Llama 2 7B inference through OpenAI compatible APIs
Container
NVIDIA NeMo™ AutoModel accelerates LLM and VLM training and fine‑tuning with PyTorch DTensor‑native SPMD, day‑0 Hugging Face support, and optimized parallelism from single‑ to multi‑node scale.
Container
This container houses the **Llama-3.3-Nemotron-Super-49B-v1.5 PB 25h2**, which is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct
Container
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
DeepSeek-V4-Flash-0731 NIM inference container for OpenAI-compatible text generation, coding, reasoning, long-context, and agentic workflows.
Container
DeepSeek-V4-Pro-0813 is DeepSeek-AI’s official release, delivered as an NVIDIA NIM container for OpenAI-compatible text generation, reasoning, coding, and agentic tool-use workflows.
Container
AI Inference Service for using VLM (visual language model) on streaming video for greater contextual understanding and natural language interaction
Container
GatorTron-OG
University of Florida Health
GatorTron-OG is a Megatron BERT model trained on pre-trained on de-identified clinical notes from the University of Florida Health System.
Model
Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
Model
Transformer-Large language model for English ASR, Trained on LibriSpeech text corpus with NeMo
Model
GatorTron-S
University of Florida Health
GatorTron-S is a Megatron BERT model trained on pre-trained on synthetic clinical discharge summaries generated by SynGatorTron 5B NLG, a Megatron GPT-3 model trained on de-identified clinical free text at the University of Florida health system.
Model
Base Arabic 4-gram LM
Model
Base German 4-gram LM
Model
Base English en-GB n-gram LM
Model
This recipe contains information and scripts to produce performance results for the Llama 2 training workload.
Resource
Base Japanese 3-gram LM
Model
Base Mandarin 4-gram LM
Model
In this notebook, we will use NVIDIA's NeMo framework to finetune the Mistral 7B LLM. Finetuning can be done using Brev quick deploy option.
Resource
Base Russian n-gram LM
Model
Base French n-gram LM
Model
Base Korean n-gram LM
Model
1-24 of 39 items

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