migtissera/Tess-v2.5-Phi-3-medium-128k-14B
Tess-v2.5-Phi-3-medium-128k-14B by migtissera is a 14.7 billion parameter language model built on the Phi-3-medium architecture, featuring an extended context length of 32,768 tokens. This model is designed for conversational AI, utilizing the ChatML prompt format for structured interactions. Its primary use case is to provide a robust foundation for chat-based applications requiring substantial context understanding.
Loading preview...
Tess-v2.5-Phi-3-medium-128k-14B Overview
Tess-v2.5-Phi-3-medium-128k-14B is a 14.7 billion parameter language model developed by migtissera. It is based on the Phi-3-medium architecture and is notable for its significantly extended context window of 32,768 tokens, allowing it to process and generate much longer sequences of text while maintaining coherence and understanding.
Key Capabilities
- Extended Context Understanding: With a 32,768-token context length, the model can handle complex, multi-turn conversations and long documents, retaining information over extensive interactions.
- ChatML Format: The model is specifically designed to work with the ChatML prompt format, ensuring structured and efficient communication in conversational AI applications.
- Foundation for Conversational AI: Provides a strong base for developing chatbots, virtual assistants, and other interactive AI systems that require deep contextual awareness.
Good for
- Long-form Dialogue: Ideal for applications requiring the model to remember and reference information from lengthy conversations or documents.
- Complex Information Processing: Suitable for tasks where understanding the full scope of a large text input is crucial, such as summarization of extensive reports or detailed Q&A.
- Structured Chat Applications: Optimized for environments that leverage the ChatML format for clear and consistent interaction patterns.