| Model Type | |
| Use Cases |
| Areas: | | Commercial applications, Research |
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| Applications: | | Assistant-like chat, Natural language generation |
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| Primary Use Cases: | | Dialogue optimization, Prompt-based text generation |
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| Limitations: | | English only, Not suitable for illegal uses |
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| Considerations: | | Developers should adhere to licensing agreements and perform additional safety testing. |
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| Additional Notes | | Model achieved lower emissions with Meta's sustainability program. |
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| Supported Languages | |
| Training Details |
| Data Sources: | | A new mix of publicly available online data |
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| Data Volume: | |
| Methodology: | | Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) |
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| Context Length: | |
| Training Time: | | Between January 2023 and July 2023 |
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| Hardware Used: | |
| Model Architecture: | |
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| Safety Evaluation |
| Methodologies: | |
| Findings: | | Fine-tuned Llama-2-Chat models have 0% Toxigen |
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| Risk Categories: | |
| Ethical Considerations: | | This model may produce inaccurate, biased or objectionable responses. |
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| Responsible Ai Considerations |
| Fairness: | | Conducted safe testing in English. |
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| Transparency: | | Usage requires adherence to licensing agreements. |
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| Accountability: | | Meta is accountable for the open release. |
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| Mitigation Strategies: | | Recommendations for developers to perform safety testing and tuning tailored to specific applications. |
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| Input Output |
| Input Format: | | [INST] <> {prompt} [/INST] |
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| Accepted Modalities: | |
| Output Format: | |
| Performance Tips: | | Avoid non-factual or biased prompts for safety and accuracy. |
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| Release Notes |
| Version: | |
| Date: | |
| Notes: | | Initial release with enhanced safety and performance benchmarks. |
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