Vicuna 33b V1.3

🚀 Vicuna Model Card

Vicuna is a chat assistant fine - tuned on LLaMA using user - shared conversations from ShareGPT, serving for research on large language models and chatbots.

🚀 Quick Start

• Command line interface: https://github.com/lm-sys/FastChat#vicuna-weights.
• APIs (OpenAI API, Huggingface API): https://github.com/lm-sys/FastChat/tree/main#api.

✨ Features

The primary use of Vicuna is research on large language models and chatbots. The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.

📦 Installation

No specific installation steps provided in the original document.

💻 Usage Examples

No code examples provided in the original document.

📚 Documentation

Model Details

Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.

Model Sources

• Repository: https://github.com/lm-sys/FastChat
• Blog: https://lmsys.org/blog/2023-03-30-vicuna/
• Paper: https://arxiv.org/abs/2306.05685
• Demo: https://chat.lmsys.org/

Training Details

Vicuna v1.3 is fine-tuned from LLaMA with supervised instruction fine-tuning. The training data is around 125K conversations collected from ShareGPT.com. See more details in the "Training Details of Vicuna Models" section in the appendix of this paper.

Evaluation

Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-judge. See more details in this paper and leaderboard.

Difference between different versions of Vicuna

See vicuna_weights_version.md

🔧 Technical Details

No specific technical details provided in the original document.

📄 License

The model uses a non - commercial license.