Llama-3.1-Nemotron-70B-Instruct

Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA, focusing on improving the helpfulness of answers generated by large language models (LLM). The model performs well on multiple automatic alignment benchmarks, such as Arena Hard, AlpacaEval 2 LC, and GPT-4-Turbo MT-Bench. It is trained on the Llama-3.1-70B-Instruct model by using RLHF (specifically the REINFORCE algorithm), Llama-3.1-Nemotron-70B-Reward and HelpSteer2-Preference hints. This model not only demonstrates NVIDIA's technology in improving the helpfulness of common domain instruction compliance, but also provides a model transformation format that is compatible with the HuggingFace Transformers code library and can be used for free managed inference through NVIDIA's build platform.

The target audience is researchers, developers, and enterprises who need to leverage advanced large-scale language models for text generation and query answering. Because the model performs well on multiple benchmarks, it is especially suitable for users looking to improve the accuracy and helpfulness of text generation. It is also ideal for users looking to leverage NVIDIA GPUs to optimize the performance of their AI applications.