Model
Nemotron-4-340B-Base
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| Field: | Response: |
|---|---|
| Intended Application(s) & Domain(s): | Large Language Model (LLM) Development |
| Model Type: | Generative Pre-Trained Transformer (GPT) |
| Intended Users: | This model is intended for model developers and researchers building LLMs. |
| Output: | Text String(s) |
| Describe how the model works: | The network architecture of this model is Nemotron-4. The decoder in Nemotron-4 generates text by predicting the next word or token based on the context provided in the input sequence using multiple self-attention layers. |
| Technical Limitations: | The Model may generate answers that are inaccurate, omit key information, or include irrelevant or redundant text. |
| Verified to have met prescribed quality standards? | Yes |
| Performance Metrics: | Accuracy, Throughput, and Latency |
| Potential Known Risks: | The Model may generate answers that are inaccurate, omit key information, or include irrelevant or redundant text. 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. |
| End User License Agreement: | Please see detailed model cards. |