Model Type | text generation, multimodal |
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Use Cases |
Areas: | Research, Commercial applications |
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Applications: | Multilingual dialogue, Natural language generation, Synthetic data generation, Distillation |
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Primary Use Cases: | Assistant-like chat, Multilingual text completion |
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Limitations: | Use is limited to supported languages unless fine-tuned for others. |
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Considerations: | Developers must ensure safe use using guidelines provided by Meta. |
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Additional Notes | Llama 3.1 enables inference on large GPU infrastructures and requires adherence to responsible use practices. |
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Supported Languages | en (English), de (German), fr (French), it (Italian), pt (Portuguese), hi (Hindi), es (Spanish), th (Thai) |
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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: | |
Hardware Used: | |
Model Architecture: | Optimized transformer architecture |
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Safety Evaluation |
Methodologies: | Red-teaming exercises, Safety fine-tuning |
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Findings: | Potential risks in chemical, biological, radiological, nuclear areas, child safety, cyber attack enablement |
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Risk Categories: | CBRNE, Child Safety, Cyber attack |
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Ethical Considerations: | Llama 3.1's use should follow the Responsible Use Guide to mitigate risks. |
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Responsible Ai Considerations |
Fairness: | Model developed to mitigate bias and fairness issues through dedicated red-teaming and evaluation. |
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Transparency: | Meta provides detailed model and usage guidelines to ensure transparency. |
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Accountability: | Users are responsible for tailoring model safeguards for compliance with use policies. |
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Mitigation Strategies: | Meta provides best practices and resources to aid in safe deployment. |
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Input Output |
Input Format: | |
Accepted Modalities: | |
Output Format: | Multilingual text and code |
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Performance Tips: | For longer context windows and additional languages, appropriate fine-tuning is needed. |
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Release Notes |
Version: | |
Date: | |
Notes: | Model release with improved safety and performance measures, longer context windows, and multilingual support. |
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