✨Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
📝 Summary:
This study optimizes small language models for real-device latency by identifying key architectural factors and efficient operators. It introduces Nemotron-Flash, a new family of hybrid SLMs that significantly improves accuracy, latency, and throughput compared to current models.
🔹 Publication Date: Published on Nov 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2511.18890
• PDF: https://arxiv.org/pdf/2511.18890
🔹 Models citing this paper:
• https://huggingface.co/nvidia/Nemotron-Flash-3B-Instruct
• https://huggingface.co/nvidia/Nemotron-Flash-1B
• https://huggingface.co/nvidia/Nemotron-Flash-3B
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SmallLanguageModels #LatencyOptimization #AI #DeepLearning #NLP
📝 Summary:
This study optimizes small language models for real-device latency by identifying key architectural factors and efficient operators. It introduces Nemotron-Flash, a new family of hybrid SLMs that significantly improves accuracy, latency, and throughput compared to current models.
🔹 Publication Date: Published on Nov 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2511.18890
• PDF: https://arxiv.org/pdf/2511.18890
🔹 Models citing this paper:
• https://huggingface.co/nvidia/Nemotron-Flash-3B-Instruct
• https://huggingface.co/nvidia/Nemotron-Flash-1B
• https://huggingface.co/nvidia/Nemotron-Flash-3B
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SmallLanguageModels #LatencyOptimization #AI #DeepLearning #NLP
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