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Models (26)
Blueprints (6)
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Mistral AI
mistral-nemotron
Built for agentic workflows, this model excels in coding, instruction following, and function calling
Model
language generation
+3
745K
9mo
NVIDIA
nemotron-parse
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
Model
text and table extraction
+2
416K
4mo
NVIDIA
Nemotron Voice Agent
A voice agent that uses the Nemotron model to generate responses to voice commands.
Blueprint
Voice Agent
+4
1w
NVIDIA
cosmos-nemotron-34b
Multi-modal vision-language model that understands text/img/video and creates informative responses
Model
VLM
+3
6
1y
NVIDIA
nemotron-graphic-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+4
3.65K
6d
NVIDIA
nemotron-mini-4b-instruct
Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling
Model
chat
+2
539K
1y
NVIDIA
nemotron-page-elements-v3
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+3
3.93K
6d
NVIDIA
nemotron-table-structure-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+4
2.94K
6d
DGX Spark
30 MIN
Nemotron-3-Nano with llama.cpp
Run Nemotron-3-Nano-30B model using llama.cpp on DGX Spark
Playbook
Nemotron
+3
2mo
NVIDIA
nemotron-content-safety-reasoning-4b
A context‑aware safety model that applies reasoning to enforce domain‑specific policies.
Model
NeMo Guardrails
+3
537K
1mo
NVIDIA
nemotron-nano-12b-v2-vl
Nemotron Nano 12B v2 VL enables multi-image and video understanding, along with visual Q&A and summarization capabilities.
Model
language generation
+4
1.45M
4mo
NVIDIA
llama-3.1-nemotron-70b-reward
Leaderboard topping reward model supporting RLHF for better alignment with human preferences.
Model
Text-to-text
+2
431K
1y
NVIDIA
llama-nemotron-embed-1b-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Model
Retrieval Augmented Generation
+2
282K
6d
NVIDIA
llama-nemotron-rerank-1b-v2
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Model
nemo retriever
+2
1.09K
4d
NVIDIA
nemotron-3-nano-30b-a3b
Open, efficient MoE model with 1M context, excelling in coding, reasoning, instruction following, tool calling, and more
Model
MoE
+4
12.92M
2mo
NVIDIA
nvidia-nemotron-nano-9b-v2
High‑efficiency LLM with hybrid Transformer‑Mamba design, excelling in reasoning and agentic tasks.
Model
thinking budget
+2
781K
6mo
NVIDIA
llama-3.1-nemotron-nano-4b-v1.1
State-of-the-art open model for reasoning, code, math, and tool calling - suitable for edge agents
Model
edge
+4
101K
8mo
NVIDIA
llama-3.1-nemotron-nano-8b-v1
Leading reasoning and agentic AI accuracy model for PC and edge.
Model
chat
+4
631K
8mo
NVIDIA
llama-3.1-nemotron-nano-vl-8b-v1
Multi-modal vision-language model that understands text/img and creates informative responses
Model
doc intelligence
+3
8.34M
8mo
NVIDIA
llama-3.1-nemotron-safety-guard-8b-v3
Leading multilingual content safety model for enhancing the safety and moderation capabilities of LLMs
Model
content moderation
+4
556K
4mo
NVIDIA
llama-3.1-nemotron-ultra-253b-v1
Superior inference efficiency with highest accuracy for scientific and complex math reasoning, coding, tool calling, and instruction following.
Model
chat
+4
7.99M
8mo
NVIDIA
llama-3.3-nemotron-super-49b-v1
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Model
chat
+4
1.14M
7mo
NVIDIA
llama-3.3-nemotron-super-49b-v1.5
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Model
chat
+4
4.89M
7mo
NVIDIA
llama-nemotron-embed-vl-1b-v2
Multimodal question-answer retrieval representing user queries as text and documents as images.
Model
nemo retriever
+3
769K
4w
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