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Searching for: Nemotron
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nvidianemotron-parse

Cutting-edge vision-language model exceling in retrieving text and metadata from images.

nvidianemotron-nano-12b-v2-vl

Nemotron Nano 12B v2 VL enables multi-image and video understanding, along with visual Q&A and summarization capabilities.

nvidiallama-3.1-nemotron-safety-guard-8b-v3

Leading multilingual content safety model for enhancing the safety and moderation capabilities of LLMs

nvidianvidia-nemotron-nano-9b-v2

High‑efficiency LLM with hybrid Transformer‑Mamba design, excelling in reasoning and agentic tasks.

nvidiallama-3.3-nemotron-super-49b-v1.5

High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.

mistralaimistral-nemotron

Built for agentic workflows, this model excels in coding, instruction following, and function calling

nvidiallama-3.1-nemotron-nano-vl-8b-v1

Multi-modal vision-language model that understands text/img and creates informative responses

nvidiallama-3.1-nemotron-nano-4b-v1.1

State-of-the-art open model for reasoning, code, math, and tool calling - suitable for edge agents

nvidiallama-3.1-nemotron-ultra-253b-v1

Superior inference efficiency with highest accuracy for scientific and complex math reasoning, coding, tool calling, and instruction following.

nvidiallama-3.3-nemotron-super-49b-v1

High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.

nvidiallama-3.1-nemotron-nano-8b-v1

Leading reasoning and agentic AI accuracy model for PC and edge.

nvidiacosmos-nemotron-34b

Multi-modal vision-language model that understands text/img/video and creates informative responses

nvidianemotron-4-mini-hindi-4b-instruct

A bilingual Hindi-English SLM for on-device inference, tailored specifically for Hindi Language.

nvidiallama-3.1-nemotron-70b-reward

Leaderboard topping reward model supporting RLHF for better alignment with human preferences.

nvidianemotron-mini-4b-instruct

Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling