| Model Type | | text generation, multimodal |
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| Use Cases |
| Areas: | | research, commercial applications |
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| Applications: | | multimodal AI research, language translation, advanced NLP tasks |
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| Primary Use Cases: | | multilingual dialogue, long-form content generation, custom tool handling |
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| Limitations: | | limited to pre-defined languages for high proficiency |
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| Considerations: | | Supports long-context processing suitable for extended content applications. |
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| Additional Notes | | Utilizes advanced capabilities like webpage browsing and tool execution. |
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| Supported Languages | | zh (high), en (high), ja (medium), ko (medium), de (medium), other_langs (support for 26 languages, including extended support for large context lengths (up to 1 million).) |
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| Training Details |
| Data Sources: | |
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| Methodology: | | Pre-trained on a diverse set of tasks including semantic, mathematical, reasoning, code, and knowledge datasets. |
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| Hardware Used: | |
| Model Architecture: | | Designed to support advanced functions like web browsing, code execution, custom tool calls, and long-text reasoning. |
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| Input Output |
| Input Format: | | JSON-like structures for dialogue with role-content mapping. |
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| Accepted Modalities: | |
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| Performance Tips: | | Ensure software dependencies are fully updated and compatible with the specified versions. |
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| Release Notes |
| Version: | |
| Date: | |
| Notes: | | Updated to use transformers>=4.44.0. |
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| Version: | |
| Date: | |
| Notes: | | Released latest technical insights related to long-text processing support up to 1M. |
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