NVIDIA Releases Nemotron-4 340B
Known for GPUs, NVIDIA Releases an Open Source LLM!
Created on June 17|Last edited on June 17
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NVIDIA has introduced Nemotron-4 340B, a new suite of open models designed to generate synthetic data for training large language models (LLMs). These models cater to a wide range of industries, including healthcare, finance, manufacturing, and retail. By providing high-quality synthetic data, Nemotron-4 340B addresses the challenge of obtaining robust datasets, which are often expensive and difficult to access.
Ready for RLHF
The Nemotron-4 340B family includes base, instruct, and reward models that form a comprehensive pipeline for generating and refining synthetic data. The instruct model creates synthetic data that mirrors real-world characteristics, enhancing the quality of custom LLMs. The reward model then evaluates this data based on attributes such as helpfulness, correctness, coherence, complexity, and verbosity. This evaluation process ensures the generated data meets high standards of quality and relevance.
HelpSteer2
Developers can customize the Nemotron-4 340B base model using their proprietary data and the included HelpSteer2 dataset. This customization is facilitated by NVIDIA NeMo, an open-source framework that supports various fine-tuning methods, including low-rank adaptation (LoRA).
More Details
All Nemotron-4 340B models are optimized with NVIDIA TensorRT-LLM, which leverages tensor parallelism to enable efficient inference across multiple GPUs and servers. This optimization ensures that the models can operate at scale, providing significant performance improvements.
The safety and security of Nemotron-4 340B models have been rigorously evaluated through adversarial tests and risk indicators. However, users are advised to conduct their own evaluations to ensure the synthetic data meets their specific requirements.
Nemotron-4 340B models are available for download on Hugging Face, with additional access through ai.nvidia.com. These models will also be packaged as an NVIDIA NIM microservice, featuring a standard API for easy deployment.
Cloud Availability
For businesses needing enterprise-grade support, the models are accessible through the cloud-native NVIDIA AI Enterprise software platform, which offers accelerated and efficient runtimes for generative AI models. Detailed information on model security, customization, and performance can be found in the associated research papers and model cards.
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