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Wingman

Run large language models locally in minutes.

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About

Wingman is a chatbot tool designed to run Large Language Models (LLMs) locally on both PC and Mac (Intel or Apple Silicon). Built with an easy-to-use user interface, Wingman provides a no-code solution that makes running LLMs accessible for anyone.

It supports a wide variety of language models such as Llama 2, OpenAI, Phi, Mistral, Yi, and Zephyr. These can be accessed directly from Hugging Face’s model hub within Wingman’s chatbot interface.

The system evaluates model compatibility with your machine to prevent crashes or slow performance. Users can customize system prompts for different use cases, enabling more interactive conversations with models.

Wingman operates fully on your device, ensuring your data is not shared with any external servers. The application only uses the network to initially download models, allowing for usage in offline environments.

Although currently without an operational API and multi-modal prompting, these features are said to be in development. As an open-source tool, Wingman is free to use and invites contribution from the wider tech community via its GitHub repo.

Additionally, it followed a regular updating schedule, promising an evolving tool that meets the needs of the user.

Wingman interface showing homepage

Key Features

Runs on PC and Mac
Intel and Apple Silicon compatibility
No-code Interface
Supports various LLMs
Direct access to Hugging Face's models
Model compatibility check
Customizable system prompts
Interactive Conversations
Data privacy
Offline functionality
Open-source
Free to use
Regular updates
Easy installation
Eigen machine operation
Lets you see trending models
Browse and search LLMs within app
Models with Emotion IQ
Frequent application updates
Access to cutting edge models
Robust system compatibility evaluation
Allows template creation for prompts
Contribution friendly via GitHub
Supports CPU-based inference
Doesn't share data with Google

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Information

Pricing

Pricing Free
Pricing Value Free
Favorites 0
Release Date April 23, 2024

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