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Vicuna

Explore Vicuna-13B, an open-source chatbot fine-tuned with 70K user conversations, showing over 90% of the quality of leading chatbots like ChatGPT and Bard.

Chatbot Updated 4 minutes ago
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Vicuna

Vicuna's Top Features

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

Frequently asked questions about Vicuna

Vicuna-13B is an open-source chatbot trained by fine-tuning the LLaMA model with 70K user-shared conversations from ShareGPT.com.

It was trained by collecting 70K conversations from ShareGPT.com and enhancing training scripts to handle multi-turn conversations and long sequences.

The cost of training Vicuna-13B was approximately $300.

Preliminary evaluation was conducted using a set of 80 diverse questions judged by GPT-4 to assess the model's output quality.

Preliminary evaluations show that Vicuna-13B achieves over 90% of the quality of leading chatbots like OpenAI's ChatGPT and Google Bard.

Yes, the code and weights for Vicuna-13B are publicly available for non-commercial use.

Yes, there is an online demo available for users to interact with Vicuna-13B.

The project was inspired by the open-source innovations of Meta LLaMA and Stanford's Alpaca projects.

Evaluation was based on assessments by GPT-4, comparing Vicuna-13B's outputs to those of other models.

It used 70K user-shared conversations collected from ShareGPT.com.

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Category
Chatbot
Tags
open-source chatbot
fine-tuning LLaMA model
user-shared conversations
evaluation using GPT-4
quality comparison
training cost
deployment infrastructure
rigorous testing
public availability
non-commercial use

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