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 |
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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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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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Performance Tips: | Ensure software dependencies are fully updated and compatible with the specified versions. |
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Release Notes |
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Notes: | Updated to use transformers>=4.44.0. |
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Notes: | Released latest technical insights related to long-text processing support up to 1M. |
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