Llama-3.1-Nemotron-70B-Instruct

A large language model customized by NVIDIA to enhance the supportiveness of query answering.

CommonProductProductivityNVIDIAlarge language model

Llama-3.1-Nemotron-70B-Instruct is a large language model tailored by NVIDIA, focusing on improving the helpfulness of responses generated by large language models (LLM). This model excelled in various auto-alignment benchmark tests, such as Arena Hard, AlpacaEval 2 LC, and GPT-4-Turbo MT-Bench. It is trained using RLHF (specifically, the REINFORCE algorithm), Llama-3.1-Nemotron-70B-Reward, and HelpSteer2-Preference prompts on the Llama-3.1-70B-Instruct model. This model not only showcases NVIDIA's technological advances in enhancing generative support for general domain instructions but also offers a model conversion format compatible with the Hugging Face Transformers library, with free hosted inference available through NVIDIA's build platform.

Demonstrates outstanding performance in Arena Hard
AlpacaEval 2 LC
and MT-Bench benchmark tests.
Utilizes RLHF and the REINFORCE algorithm for training
improving the accuracy and helpfulness of responses.
Provides a model conversion format compatible with the Hugging Face Transformers library.
Allows for free hosted inference via NVIDIA's build platform
boasting an OpenAI compatible API interface.
Excels at handling general domain instructions
despite not being optimized for specific areas like mathematics.

\This model is aimed at researchers
developers
and enterprises looking to leverage advanced large language models for text generation and query answering. It has demonstrated excellent performance across multiple benchmark tests
making it particularly suitable for users seeking to enhance the accuracy and support of text generation. Additionally
it is an ideal choice for users wanting to optimize their AI application performance using NVIDIA GPUs.\

Researchers use this model to generate more accurate answers in natural language processing tasks.
Developers integrate the model into chatbots to provide a more natural and helpful conversational experience.
Businesses utilize the model to optimize customer service systems by automating responses to common questions
thereby enhancing customer satisfaction.

1. Register and obtain free immediate access to the NVIDIA NeMo Framework container.
2. If you do not have an NVIDIA NGC API key
log in to NVIDIA NGC to generate one.
3. Log into nvcr.io with Docker and pull the required container.
4. Download the model's checkpoint.

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