Vicuna-33B v1.3
| Property | Value |
|---|---|
| Developer | LMSYS |
| Base Model | LLaMA |
| License | Non-commercial |
| Research Paper | Link |
What is vicuna-33b-v1.3?
Vicuna-33B v1.3 is an advanced chat assistant developed by LMSYS, created through fine-tuning the LLaMA architecture. It represents a significant advancement in conversational AI, trained on approximately 125,000 conversations from ShareGPT.com. This model is specifically designed for research purposes in the field of large language models and chatbots.
Implementation Details
The model implements an auto-regressive language model based on the transformer architecture. It's accessible through both command-line interface and APIs (including OpenAI and Huggingface compatibility), making it versatile for different implementation needs.
- Fine-tuned using supervised instruction techniques
- Trained on carefully curated ShareGPT conversations
- Implements transformer-based architecture
- Supports multiple interface options
Core Capabilities
- Advanced conversational AI abilities
- Research-focused language understanding and generation
- Benchmarked performance with standard evaluation metrics
- Supports both human preference and LLM-as-a-judge evaluation methods
Frequently Asked Questions
Q: What makes this model unique?
Vicuna-33B v1.3 stands out for its extensive training on real-world conversations from ShareGPT, combined with its optimization for research purposes and strong performance in benchmark evaluations. It offers a balance between sophisticated language understanding and practical applicability.
Q: What are the recommended use cases?
The model is primarily intended for researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. It's particularly suited for research applications, chatbot development, and studying large language model behaviors.
