Model Type | text generation, multilingual |
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Use Cases |
Areas: | |
Applications: | assistant-like chat, knowledge retrieval, summarization, mobile AI powered writing assistants |
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Limitations: | Use in any manner violating applicable laws or regulations, Use beyond explicitly referenced languages |
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Supported Languages | English (officially supported), German (officially supported), French (officially supported), Italian (officially supported), Portuguese (officially supported), Hindi (officially supported), Spanish (officially supported), Thai (officially supported) |
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Training Details |
Data Sources: | Publicly available online data |
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Data Volume: | |
Methodology: | Supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF) |
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Context Length: | |
Training Time: | |
Hardware Used: | Meta's custom built GPU cluster |
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Model Architecture: | Auto-regressive language model using optimized transformer architecture |
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Safety Evaluation |
Ethical Considerations: | The model is not to be deployed in isolation but as part of a broader AI system with safety guardrails. |
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Responsible Ai Considerations |
Transparency: | Built to be safe and flexible for user-deployed systems. |
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Accountability: | Developers are accountable for ensuring safety in their deployments. |
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Input Output |
Accepted Modalities: | |
Output Format: | |
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Release Notes |
Version: | |
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Notes: | Release of Llama 3.2 multilingual large language models. |
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