| 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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