Vicuna
ChatbotFree
Vicuna-13B: A High-Quality Open-Source Chatbot
Last updated Apr 30, 2026
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What is Vicuna?
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.
Tags
open-source chatbotfine-tuning LLaMA modeluser-shared conversationsevaluation using GPT-4quality comparisontraining costdeployment infrastructurerigorous testingpublic availabilitynon-commercial use
Vicuna's Pricing
Free plan available
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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.