zguo0525/vicuna-7b
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kLicense:apache-2.0Architecture:Transformer Open Weights Cold
zguo0525/vicuna-7b is a 7 billion parameter language model, fine-tuned from LLaMA, designed for general-purpose conversational AI. It excels at following instructions and engaging in multi-turn dialogues, making it suitable for chatbots and interactive applications. The model leverages a context length of 4096 tokens to maintain coherence over extended conversations.
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zguo0525/vicuna-7b: A Conversational LLaMA Fine-tune
zguo0525/vicuna-7b is a 7 billion parameter language model derived from the LLaMA architecture. This model has been specifically fine-tuned to enhance its capabilities in conversational AI and instruction following. It is designed to provide coherent and contextually relevant responses across various dialogue scenarios.
Key Capabilities
- Instruction Following: Excels at understanding and executing user instructions.
- Multi-turn Conversation: Maintains context and coherence over extended dialogues, making it suitable for interactive applications.
- General-Purpose Chat: Capable of engaging in a wide range of conversational topics.
- Context Length: Supports a context window of 4096 tokens, allowing for more detailed and longer interactions.
Good For
- Developing chatbots and virtual assistants.
- Applications requiring instruction-based text generation.
- Interactive question-answering systems.
- Prototyping conversational AI experiences.