Model Type | text-to-text, decoder-only, large language model |
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Use Cases |
Areas: | Content Creation and Communication, Research and Education |
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Applications: | Text Generation, Chatbots and Conversational AI, Text Summarization, NLP Research, Language Learning Tools, Knowledge Exploration |
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Additional Notes | These models have been trained with open weights for both pre-trained variants and instruction-tuned variants. |
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Supported Languages | |
Training Details |
Data Sources: | Web Documents, Code, Mathematics |
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Data Volume: | |
Hardware Used: | |
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Safety Evaluation |
Methodologies: | structured evaluations, red-teaming tests |
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Risk Categories: | child safety, content safety, representational harms, memorization, large-scale harms |
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Responsible Ai Considerations |
Mitigation Strategies: | Filtering based on content quality and safety. |
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Input Output |
Input Format: | Text string, such as a question, a prompt, or a document to be summarized. |
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Accepted Modalities: | |
Output Format: | Generated English-language text in response to the input. |
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