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.com/nvidia/llama-3_1-nemotron-70b-instruct
📥 On GitHub: https://github.com/lmarena/arena-hard-auto/tree/main
📥 Or, on Hugging Face: https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct
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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.com/nvidia/llama-3_1-nemotron-70b-instruct 📥 On GitHub: https://github.com/lmarena/arena-hard-auto/tree/main 📥 Or, on Hugging Face: https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct
Our Llama-3.1-Nemotron-70B-Instruct model is a leading model on the 🏆 Arena Hard benchmark (85) and is known for its predictive ability of Chatbot Arena Elo score. 📥 on our API catalog: https://build.nvidia.com/nvidia/llama-3_1-nemotron-70b-instruct
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.com/nvidia/llama-3_1-nemotron-70b-instruct 📥 On GitHub: https://github.com/lmarena/arena-hard-auto/tree/main 📥 Or, on Hugging Face: https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct