Baize-Chatbot

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Baize-chatbot is an open-source AI chatbot tool that allows users to train their own chatbot using ChatGPT with a single GPU. It provides models and scripts for merging LoRA weights into standard Hugging Face models.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is baize-chatbot?

Baize-chatbot is an open-source project designed for training custom chatbots efficiently. It leverages ChatGPT to teach your own chatbot in a matter of hours, requiring only a single GPU. The project offers various models, including 7B, 13B, and 30B versions, trained with LoRA using 100k dialogs generated by ChatGPT itself, supplemented by Alpaca's data for enhanced performance. Baize provides CLI and API tools for seamless chatbot development and integration, supporting Fastchat. Additionally, it includes scripts for merging LoRA weights into standard Hugging Face models, making them compatible with a wide range of applications. The project also offers pre-trained models like Baize Healthcare-7B and supports community models such as Falcon-7B-Instruct and Fauno (an Italian version).

Best used for

Ideal for developers and researchers who need to train custom chatbots quickly, fine-tune large language models with specific datasets, and integrate conversational AI into their applications. Especially valuable for those looking to leverage ChatGPT's capabilities for self-chat data generation and efficient model training on a single GPU.

Common actions

train chatbot

develop conversational AI

fine-tune language models

integrate AI models

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Capabilities

Key features

ChatGPT-driven self-chat training
LoRA weight merging
CLI and API support
7B, 13B, 30B models
Single GPU training
Data collection scripts

Target Audience

developersai researchersmachine learning engineers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of data is used to train Baize models?

Baize models are trained using 100k dialogs generated by letting ChatGPT chat with itself. This self-chat data is supplemented with Alpaca's data to further improve the model's performance and conversational abilities.

Can I use Baize models with standard Hugging Face tools?

Yes, Baize provides a script to merge its LoRA weights into standard Hugging Face models. This allows you to use the fine-tuned Baize models with any tool or platform that supports Hugging Face models.

What are the GPU requirements for running Baize?

For inference, Baize-7B requires 16GB VRAM, Baize-13B needs 28GB, and Baize-30B requires 67GB. Training the 7B model takes about 26GB VRAM, 13B takes 25GB, and 30B takes 42GB, typically on an A100-80G GPU.

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