We’re excited to share that Llama Nemotron Super v1.5 -- our latest open reasoning model -- is leading the Artificial Analysis Intelligence Index - a leaderboard that spans advanced math, science, and agentic tasks, for models running on a single NVIDIA H100. 
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We’re excited to share that Llama Nemotron Super v1.5 -- our latest open reasoning model -- is leading the Artificial Analysis Intelligence Index - a leaderboard that spans advanced math, science, and agentic tasks, for models running on a single NVIDIA H100. 
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Super v1.5 is trained with high-quality reasoning synthetic data generated from models like Qwen3-235B and DeepSeek R1. Besides leading accuracy, it also delivers high throughput. 
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Super v1.5 is trained with high-quality reasoning synthetic data generated from models like Qwen3-235B and DeepSeek R1. Besides leading accuracy, it also delivers high throughput. 
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Key features:
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Key features:
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- Leading accuracy on multi-step reasoning, math, coding, and function-calling
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- Leading accuracy on multi-step reasoning, math, coding, and function-calling
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- Post-trained using RPO, DPO, and RLVR across 26M+ synthetic examples
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- Post-trained using RPO, DPO, and RLVR across 26M+ synthetic examples
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- Fully transparent training data on HF (Nemotron-Post-Training-Dataset-v1) 
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- Fully transparent training data on HF (Nemotron-Post-Training-Dataset-v1) 
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Try Super v1.5 on build.nvidia.com or download from Hugging Face 
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Try Super v1.5 on build.nvidia.com or download from Hugging Face 
We’re excited to share that Llama Nemotron Super v1.5 -- our latest open reasoning model -- is leading the Artificial Analysis Intelligence Index - a leaderboard that spans advanced math, science, and agentic tasks, for models running on a single NVIDIA H100. 
Super v1.5 is trained with high-quality reasoning synthetic data generated from models like Qwen3-235B and DeepSeek R1. Besides leading accuracy, it also delivers high throughput. 
Key features:
- Leading accuracy on multi-step reasoning, math, coding, and function-calling
- Post-trained using RPO, DPO, and RLVR across 26M+ synthetic examples
- Fully transparent training data on HF (Nemotron-Post-Training-Dataset-v1) 

Try Super v1.5 on build.nvidia.com or download from Hugging Face 
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