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Model
Nemotron-4-340B-Instruct
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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 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: | |
| Verified to have met prescribed quality standards? | Yes |
| Performance Metrics: | Accuracy, Throughput, and Latency |
| Potential Known Risks: | The base model was trained on data that contains toxic language and societal biases originally crawled from the internet. Therefore, the model may amplify those biases and return toxic responses especially when prompted with toxic prompts. The model may generate answers that may be inaccurate, omit key information, or include irrelevant or redundant text producing socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive. |
| End User License Agreement: | Please see detailed model cards. |