TigerResearch/tigerbot-70b-chat-v2
TigerResearch/tigerbot-70b-chat-v2 is a 70 billion parameter chat-optimized language model developed by TigerResearch. This model is designed as a foundational LLM, providing a base for various conversational AI applications. It features an 8192-token context length, making it suitable for processing moderately long interactions and generating coherent responses.
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Overview
TigerResearch/tigerbot-70b-chat-v2 is a 70 billion parameter large language model developed by TigerResearch, designed specifically for chat applications. It serves as a foundational model, intended to be a robust base for building custom conversational AI solutions.
Key Features
- Parameter Count: 70 billion parameters, offering significant capacity for complex language understanding and generation.
- Context Length: Supports an 8192-token context window, enabling the model to maintain coherence over extended dialogues.
- Chat Optimization: Fine-tuned for conversational use cases, making it suitable for interactive applications.
Intended Use
This model is primarily intended for developers and researchers looking for a powerful base model to integrate into their chat-based AI systems. Its foundational nature allows for further customization and fine-tuning to specific domains or user interaction styles.