We’re excited to share that 🥇 Llama Nemotron Super 49B v1.5 -- our latest open reasoning model -- is now #1 on the Artificial Analysis Intelligence Index - a leaderboard that spans advanced math, science, and agentic tasks, in the 70B open model category. Llama Nemotron Super 49B v1.5 is trained with high-quality reasoning synthetic data generated from models like Qwen3-235B and DeepSeek R1. It delivers state-of-the-art accuracy and throughput, running on a single H100. Key features: 🎯 Leading
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We’re excited to share that 🥇 Llama Nemotron Super 49B v1.5 -- our lat…
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FacebookNVIDIA AI
Our Llama-3.1-Nemotron-70B-Instruct model is a leading model on the 🏆 Arena Hard benchmark (85). Arena Hard uses a data pipeline to build high-quality benchmarks from live data in Chatbot Arena, and is known for its predictive ability of Chatbot Arena Elo score as well as separability between helpful and less helpful models. Use our customized model Llama-3.1-Nemotron-70B to improve the helpfulness of LLM generated responses in your applications. 📥 Try on our API catalog: https://build.nvidia.
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Our Llama-3.1-Nemotron-70B-Instruct model is a leading model …
229 viewsOct 15, 2024
FacebookNVIDIA AI
We're excited to share leaderboard-topping 🏆 NVIDIA Nemotron Nano 2, a groundbreaking 9B parameter open, multilingual reasoning model that's redefining efficiency in AI and earned the leading spot on the Artificial Analysis Intelligence Index leaderboard among open models within the same parameter range. It's built on a unique hybrid Transformer-Mamba architecture, a combination that delivers the same accuracy you expect, but with higher throughput. This enables it to achieve high performance/c
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We're excited to share leaderboard-topping 🏆 NVIDIA Nemotron Nano 2…
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FacebookNVIDIA AI
The Llama-Embed-Nemotron-8B text embedding model now ranks as the top open and portable model on the Hugging Face MMTEB leaderboard. Why it’s leading the race: ✅ Strong performance for retrieval, reranking, classification, and bi‑text mining ✅ Effectively handles retrieval in low-resource languages and cross-lingual setups ✅ Trained on 16M query‑document pairs (8M public 8M synthetic) ✅ Combines model merging and refined hard‑negative mining for better accuracy Leaderboard 🏆 https://huggingface
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FacebookNVIDIA AI
3.1K views · 66 reactions | ✨ Meet our new open family of models:...
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CPU Demo In Action: Meta Llama 3 8b Instruct With AMD Ryzen AI. Try it yourself! https://community.amd.com/t5/ai/experience-meta-llama-3-with-amd-ryzen-ai-and-radeon-7000-series/ba-p/680061 | AMD
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