Vicuna 33B by LMSYS
Vicuna 33B is a large language model developed by the Large Model Systems Organization (LMSYS). It is fine-tuned from Meta's LLaMA model using approximately 125,000 user-shared conversations collected from ShareGPT. Designed to advance research in conversational AI, Vicuna 33B offers strong performance in dialogue generation and question-answering tasks.
Key Features:
33 Billion Parameters: Balances performance and efficiency, suitable for various research applications.
Fine-Tuned on Diverse Conversations: Trained on a wide range of user-shared dialogues to enhance general knowledge and conversational abilities.
Strong Conversational Performance: Demonstrates competitive results in multi-turn dialogue and question-answering benchmarks.
Community-Driven Development: Represents a collaborative effort in open research, contributing to advancements in large language models.
Example Use Cases:
Research in natural language understanding and generation.
Development of conversational agents and chatbots.
Exploration of large language model capabilities in academic settings.