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Vicuna

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Vicuna-13B: A High-Quality Open-Source Chatbot

Last updated Apr 30, 2026

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What is Vicuna?

Vicuna-13B is an open-source chatbot created by fine-tuning the LLaMA model with 70K user-shared conversations from ShareGPT.com. The model, evaluated using GPT-4, showcases over 90% of the quality of prominent chatbots like OpenAI's ChatGPT and Google Bard, at a training cost of approximately $300. The project improves on previous models like Stanford's Alpaca and introduces scalable infrastructure for its deployment. While preliminary evaluations are promising, further rigorous testing is needed to confirm these findings. The code, weights, and an online demo are publicly available for non-commercial use.

Vicuna's Top Features

Key capabilities that make Vicuna stand out.

Open-source

Fine-tuned with user-shared conversations

Cost-effective training

High-quality output

Enhanced training scripts

Lightweight distributed serving system

Evaluation by GPT-4

Publicly available code and weights

Scalable infrastructure

Interactive online demo

Use Cases

Who benefits most from this tool.

AI Researchers

For developing and testing new chatbot models.

Educators

As a teaching tool for demonstrating language model capabilities.

Developers

To build applications with an embedded chatbot for customer support or interaction.

Businesses

To improve customer engagement through intelligent chatbots.

Students

For learning and experimenting with machine learning and AI technologies.

Data Scientists

To explore new methodologies for chatbot training and evaluation.

Open-source Contributors

To participate in enhancing and expanding the Vicuna-13B project.

Startups

For leveraging a cost-effective chatbot solution in their products.

Non-profits

To provide automated assistance and information dissemination in non-commercial projects.

Tech Enthusiasts

To experiment with and understand advanced chatbot technologies.

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Tags

open-source chatbotfine-tuning LLaMA modeluser-shared conversationsevaluation using GPT-4quality comparisontraining costdeployment infrastructurerigorous testingpublic availabilitynon-commercial use

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Frequently Asked Questions

What is Vicuna-13B?
Vicuna-13B is an open-source chatbot trained by fine-tuning the LLaMA model with 70K user-shared conversations from ShareGPT.com.
How was Vicuna-13B trained?
It was trained by collecting 70K conversations from ShareGPT.com and enhancing training scripts to handle multi-turn conversations and long sequences.
How much did it cost to train Vicuna-13B?
The cost of training Vicuna-13B was approximately $300.
What evaluation method was used for Vicuna-13B?
Preliminary evaluation was conducted using a set of 80 diverse questions judged by GPT-4 to assess the model's output quality.
How does Vicuna-13B compare to other chatbots?
Preliminary evaluations show that Vicuna-13B achieves over 90% of the quality of leading chatbots like OpenAI's ChatGPT and Google Bard.
Is the code for Vicuna-13B publicly available?
Yes, the code and weights for Vicuna-13B are publicly available for non-commercial use.
Can I interact with Vicuna-13B?
Yes, there is an online demo available for users to interact with Vicuna-13B.
What inspired the creation of Vicuna-13B?
The project was inspired by the open-source innovations of Meta LLaMA and Stanford's Alpaca projects.
What was used to evaluate the quality of Vicuna-13B?
Evaluation was based on assessments by GPT-4, comparing Vicuna-13B's outputs to those of other models.
What unique datasets were used to train Vicuna-13B?
It used 70K user-shared conversations collected from ShareGPT.com.