Model Type | text generation, text summarization, multilingual |
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Use Cases |
Areas: | |
Applications: | knowledge retrieval, summarization, writing assistants, query and prompt rewriting |
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Primary Use Cases: | assistant chat, agentic applications |
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Limitations: | Use beyond supported languages without compliance with license, Violation of Acceptable Use Policy, Illegal activities |
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Considerations: | Encourage responsible use. |
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Additional Notes | Initial release for commercial and research purposes. |
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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 Volume: | |
Methodology: | Supervised Fine-Tuning (SFT), Rejection Sampling (RS), Direct Preference Optimization (DPO). |
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Context Length: | |
Training Time: | |
Hardware Used: | |
Model Architecture: | Optimized transformer architecture with autoregressive language model. |
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Safety Evaluation |
Methodologies: | Red teaming, Safety fine-tuning |
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Findings: | |
Risk Categories: | |
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Responsible Ai Considerations |
Mitigation Strategies: | System safeguards include Llama Guard, Prompt Guard, and Code Shield. |
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Input Output |
Input Format: | |
Accepted Modalities: | |
Output Format: | Multilingual Text and code |
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