Wingman ✓

Run large language models locally in minutes.

Source rating 4.5 (2) 1k views 42 saves Free

Verdict

A quick read before you dig into the full page.

Best if

Run large language models locally in minutes

Skip if

Limited model compatibility checks

Pick this when

Runs on PC and Mac

Overview

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.

Access & connections

Where you can use Wingman, and what it plugs into.

Platforms

Web

Integrations

GitHub

Capabilities

What this tool accepts, produces, and is strongest at.

Input

Text

Output

Text

Pros & cons

Pros

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

Show 17 more

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

Cons

Lacks operational API
No multi-modal prompting
Internet required for initial model download
No integrated model training
No collaborative chatbot development features
Limited model compatibility checks
No mobile platform support

FAQ 12

What is Wingman?

Wingman is a chatbot tool built on an easy-to-use user interface designed to run Large Language Models (LLMs) locally on both PC and Mac. This no-code solution supports a wide variety of language models. Wingman allows users to customize system prompts for different use cases, thus enabling more interactive conversations with models. It operates fully on your device, ensuring your data is not shared with any external servers, and only uses the network to initially download models. Wingman is also an open-source tool that encourages contributions from the wider tech community.

What is the compatibility range of Wingman?

Wingman is compatible with both PC and Mac, both Intel and Apple Silicon. It runs on Windows PCs and MacOS. On Windows PCs, it supports Nvidia GPUs or CPU-based inference. On MacOS, it supports both Intel and Apple Silicon devices.

Does Wingman support Llama 2, OpenAI, Phi, Mistral, Yi, and Zephyr models?

Yes, Wingman supports Llama 2, OpenAI, Phi, Mistral, Yi, and Zephyr models. These models can be accessed directly from Hugging Face's model hub within Wingman's chatbot interface.

Can Wingman be run on both PC and Mac (Intel or Apple Silicon)?

Yes, Wingman can be run on both PC and Mac, including both Intel and Apple Silicon.

Does Wingman enable users to customize system prompts?

Yes, Wingman allows users to customize system prompts, enabling them to tailor the AI's responses for different use cases.

Can I use Wingman in offline environments?

Yes, Wingman can be used in offline environments. The application only requires internet to initially download models, after which it can operate without network access.

What models can be accessed from Hugging Face's model hub within Wingman?

All models available on Hugging Face's model hub can be accessed within Wingman's chatbot interface. Notable examples include Llama 2, OpenAI models, Phi, Mistral, Yi, and Zephyr.

How does Wingman ensure my data privacy?

Wingman operates fully on your device, ensuring your data is not shared with any external servers. The application does not share your data with OpenAI, Google, or anyone else. It does not rely on the network, except to initially download models, thus ensuring your data privacy.

Is Wingman a no-code solution?

Yes, Wingman is a no-code solution. Its intuitive graphical interface makes running Large Language Models approachable for anyone without the need for writing any code.

Is Wingman free to use?

Yes, Wingman is open-source and free to use. It invites users to download and try it out.

Can I contribute to Wingman's development?

Yes, being an open-source tool, Wingman invites contribution from the wider tech community. You can help by visiting the GitHub repo to report issues, submit pull requests, and more.

Does Wingman follow a regular update schedule?

Yes, Wingman follows a regular updating schedule, with the goal of constantly evolving the tool to better suit the needs of the users. Frequent updates and a lot of planned developments are to be expected.

Wingman ✓

Verdict

Overview