Vicuna-7B-V1.5 Open-Source Chat Assistant - Trained on Llama 2, Enjoy Free Chatting and Interaction

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Vicuna 7b V1.5

Developed by lmsys

Vicuna is a chat assistant fine-tuned from Llama 2, trained on user-shared dialogues from ShareGPT.

Large Language Model

Transformers

#Chat Assistant Fine-tuning #User Dialogue Training #Llama2 Optimization

Downloads 255.23k

Release Time : 7/29/2023

Model Overview

Vicuna is a large language model primarily used for chatbot research and natural language processing tasks.

Model Features

Fine-tuned from Llama 2

Fine-tuned on the powerful Llama 2 base model, inheriting its excellent language understanding capabilities

High-quality training data

Trained on approximately 125K real user dialogue samples from ShareGPT.com

Multi-dimensional evaluation

Comprehensively evaluated through standard benchmarks, human preference assessments, and LLM-as-a-judge methods

Model Capabilities

Natural language understanding

Text generation

Dialogue interaction

Instruction following

Use Cases

Research

Large language model research

Used to study the behavioral characteristics of chatbots and language models

Dialogue system development

Serves as a core component for dialogue system development and research

Application Development

Intelligent assistant

Develop various intelligent dialogue assistant applications

🚀 Vicuna Model Card

Vicuna is a chat assistant fine - tuned from Llama 2. It is trained on user - shared conversations from ShareGPT, offering valuable insights 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

Vicuna is an auto - regressive language model based on the transformer architecture. It is mainly used for research on large language models and chatbots, targeting researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples are provided in the original document, so this section is skipped.

📚 Documentation

Model Details

Developed by: LMSYS
Model type: An auto - regressive language model based on the transformer architecture
License: Llama 2 Community License Agreement
Finetuned from model: Llama 2

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/

Uses

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.

Training Details

Vicuna v1.5 is fine - tuned from Llama 2 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

Evaluation Results 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 implementation details are provided in the original document, so this section is skipped.

📄 License

The model is released under the Llama 2 Community License Agreement.

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