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ChatLLaMA

Create custom AI assistants on your GPUs

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About

Generated by ChatGPT

ChatLLaMA is an AI tool that enables users to create their own personal AI assistants that run directly on GPUs. It utilizes LoRA, which is trained on the Anthropic’s HH dataset, to seamlessly model conversations between an AI assistant and users.

Additionally, the RLHF version of LoRA will be available soon. The tool is currently available in 30B, 13B, and 7B models. Users can also share high-quality dialogue-style datasets with ChatLLaMA, and it will be trained on them to improve the quality of conversations.

ChatLLaMA comes with a Desktop GUI that allows users to run it locally. It is essential to note that the tool is trained for research, and there are no foundation model weights.

The post promoting ChatLLaMA was run through gpt4 to increase comprehensibility. ChatLLaMA also offers GPU power to developers who can leverage it in exchange for coding help, and interested developers can contact @devinschumacher on the Discord server.

Overall, ChatLLaMA provides an opportunity to create an AI assistant that can improve conversation quality, and it is available in different models, making it flexible for users.

Additionally, developers and users can leverage GPU power to enhance coding and improve AI conversation systems.

ChatLLaMA interface showing homepage

Key Features

Runs directly on GPUs
Utilizes trained LoRA
Models conversational systems
Future RLHF version
Available in multiple models
Accepts user-shared datasets
Trainable on new datasets
Includes Desktop GUI
Operates locally
Designed for research
Post processed by gpt4
Offers GPU power to developers
Direct contact via Discord
Models tailored by dataset
Flexible model sizes
User-guided tool improvement
Developer support opportunities
Increased post comprehensibility
Variety of model options
Potential for coding exchanges
ChatLLaMA encourages open-source development
Locally-run assistant availability

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Information

Pricing

Pricing Free
Pricing Value Free
Favorites 0
Release Date March 20, 2023

Category

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