NVIDIA
NVIDIA
Nemotron-3-8B-Base-4k
Model
NVIDIA
NVIDIA
Nemotron-3-8B-Base-4k

Nemotron-3-8B-Base-4k is a large language foundation model for enterprises trained by NVIDIA

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Application & Domain:Large Language Model Development
Model Type:Generative Pre-Trained Transformer (GPT)
Intended User:enterprise developers building large language models.
Output:Text String(s)
Describe how the model works:The network architecture of this model is Generative Pre-Trained Transformer-3 (GPT3). The decoder in GPT-3 generates text by predicting the next word or token based on the context provided in the input sequence using multiple self-attention layers.
Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of:Not Applicable
Performance Metrics:Throughput and Latency
Potential Known Risks:The Model may produce output that is biased and toxic based on how it is prompted, producing socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive. The model may also amplify biases and return toxic responses especially when prompted with toxic prompts.
Licensing:NVIDIA AI Foundation Models Community License Agreement

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.