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nvidia 's collections 130

Nemotron Labs IMO 2026
Checkpoints, training data and benchmark from 'An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics' (IMO 2026).
NVIDIA Nemotron v3
Open, Production-ready Enterprise Models
Cosmos1
⚠️ This collection is archived. 👉 https://huggingface.co/collections/nvidia/cosmos3
Nemotron Safety & Content Moderation
Datasets for building safe models with refusals, content moderation, PII detection, agentic safety, and audio safety capabilities.
Nemotron-Cascade 2
Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Reward Models 06-2025
Nemotron reward models. For use in RLHF pipelines and LLM-as-a-Judge
OpenCodeReasoning
Reasoning data for supervised finetuning of LLMs to advance data distillation for competitive coding
Llama Nemotron Feedback-Edit Inference-Time Scaling
Novel ITS approach for open-ended tasks - No. 1 on Arena Hard on 18 Mar 2025
AceMath
We are releasing math instruction models, math reward models, general instruction models, all training datasets, and a math reward benchmark.
Eagle
Eagle is a family of frontier vision-language models with data-centric strategies. The model supports both HD image and long-context video input.
Parakeet ASR
NeMo Parakeet ASR Models attain strong speech recognition accuracy while being efficient for inference. Available in CTC and RNN-Transducer variants.
MambaVision
MambaVision: A Hybrid Mamba-Transformer Vision Backbone. Includes both 1K and 21K pretrained models.
Minitron
A family of compressed models obtained via pruning and knowledge distillation
Inference Optimized Checkpoints (with Model Optimizer)
A collection of generative models quantized and optimized for inference with Model Optimizer.
Nemotron Agentic & Tool-Use
Datasets for building models capable of function calling, multi-step agentic tasks, terminal use, and SWE workflows.
Nemotron Chat & Instruction Following
Datasets for building helpful, multi-turn, instruction-following conversational models across single and multi-turn settings.
Speculative Decoding Modules
A collection of speculative decoding modules created using Model Optimizer.
Cosmos2
⚠️ This collection is archived. 👉 https://huggingface.co/collections/nvidia/cosmos3
Nemotron Post-Training Datasets
Collection of datasets used in the post-training phase of Nemotron Nano, Super, Ultra v3, Super 3.5 VL, and Lightning 3.5.
Nemotron Retriever
Formerly known as Nemotron RAG. Models for embedding, reranking, and document parsing for RAG and agentic retrieval.
ChronoEdit
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
Nemotron-Personas
A collection of multilingual, region-specific synthetic persona datasets that support sovereign AI development across many countries and regions.
OpenReasoning-Nemotron
Collection of models for OpenReasoning-Nemotron which are trained on 5M reasoning traces for Math, Code and Science.
OpenMathReasoning
Models and datasets from "AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset"
NemoGuard
Essential datasets and models for content safety, topic-following, and security guardrails
Canary ASR/AST
A collection of multilingual and multitask speech to text models from NVIDIA NeMo 🐤
PS3: Scaling Vision Pre-Training to 4K Resolution
Enabling 4k resolution for VLMs, CVPR 2025, https://nvlabs.github.io/PS3/
NeMo Curator - Classifier Models
Classifier models that can be used in NeMo Curator for labelling/filtering datasets.
Nemotron Labs IMO 2026
Checkpoints, training data and benchmark from 'An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics' (IMO 2026).
NVIDIA Nemotron v3
Open, Production-ready Enterprise Models
Inference Optimized Checkpoints (with Model Optimizer)
A collection of generative models quantized and optimized for inference with Model Optimizer.
Cosmos1
⚠️ This collection is archived. 👉 https://huggingface.co/collections/nvidia/cosmos3
Nemotron Agentic & Tool-Use
Datasets for building models capable of function calling, multi-step agentic tasks, terminal use, and SWE workflows.
Nemotron Safety & Content Moderation
Datasets for building safe models with refusals, content moderation, PII detection, agentic safety, and audio safety capabilities.
Nemotron Chat & Instruction Following
Datasets for building helpful, multi-turn, instruction-following conversational models across single and multi-turn settings.
Nemotron-Cascade 2
Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Speculative Decoding Modules
A collection of speculative decoding modules created using Model Optimizer.
Cosmos2
⚠️ This collection is archived. 👉 https://huggingface.co/collections/nvidia/cosmos3
Nemotron Post-Training Datasets
Collection of datasets used in the post-training phase of Nemotron Nano, Super, Ultra v3, Super 3.5 VL, and Lightning 3.5.
Nemotron Retriever
Formerly known as Nemotron RAG. Models for embedding, reranking, and document parsing for RAG and agentic retrieval.
ChronoEdit
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
Nemotron-Personas
A collection of multilingual, region-specific synthetic persona datasets that support sovereign AI development across many countries and regions.
OpenReasoning-Nemotron
Collection of models for OpenReasoning-Nemotron which are trained on 5M reasoning traces for Math, Code and Science.
Reward Models 06-2025
Nemotron reward models. For use in RLHF pipelines and LLM-as-a-Judge
OpenMathReasoning
Models and datasets from "AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset"
OpenCodeReasoning
Reasoning data for supervised finetuning of LLMs to advance data distillation for competitive coding
Llama Nemotron Feedback-Edit Inference-Time Scaling
Novel ITS approach for open-ended tasks - No. 1 on Arena Hard on 18 Mar 2025
AceMath
We are releasing math instruction models, math reward models, general instruction models, all training datasets, and a math reward benchmark.
NemoGuard
Essential datasets and models for content safety, topic-following, and security guardrails
Eagle
Eagle is a family of frontier vision-language models with data-centric strategies. The model supports both HD image and long-context video input.
Parakeet ASR
NeMo Parakeet ASR Models attain strong speech recognition accuracy while being efficient for inference. Available in CTC and RNN-Transducer variants.
Canary ASR/AST
A collection of multilingual and multitask speech to text models from NVIDIA NeMo 🐤
MambaVision
MambaVision: A Hybrid Mamba-Transformer Vision Backbone. Includes both 1K and 21K pretrained models.
PS3: Scaling Vision Pre-Training to 4K Resolution
Enabling 4k resolution for VLMs, CVPR 2025, https://nvlabs.github.io/PS3/
Minitron
A family of compressed models obtained via pruning and knowledge distillation
NeMo Curator - Classifier Models
Classifier models that can be used in NeMo Curator for labelling/filtering datasets.