Tool Information
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.
F.A.Q (20)
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.
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.
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.
Yes, Wingman can be run on both PC and Mac, including both Intel and Apple Silicon.
Yes, Wingman allows users to customize system prompts, enabling them to tailor the AI's responses for different use cases.
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.
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.
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.
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.
Yes, Wingman is open-source and free to use. It invites users to download and try it out.
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.
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.
Currently, Wingman does not have an operational API and multi-modal prompting. However, these features are being tested internally and are in the development stage.
No, you do not need an internet connection to run local models on Wingman. The internet is only required to initially download the models.
To download language models using Wingman, you need to initially access the network. Models can be downloaded directly from Hugging Face's model hub within Wingman's chatbot interface.
Yes, Wingman evaluates model compatibility with your machine to prevent crashes or slow performance. It helps you know which models you can realistically run based on your system's specifications.
Wingman makes running Large Language Models accessible through its intuitive graphical interface. Its no-code design approach makes it easy for anyone to run LLMs without any need for code or terminals. Just point, click, and converse.
Yes, Wingman can operate fully on your device. It does not share your data with any external servers, maintaining user privacy.
To install Wingman, you need to download the app and run the installer on your machine.
To use Wingman, you need either a Windows PC that supports Nvidia GPUs or CPU-based inference, or a MacOS device that supports both Intel and Apple Silicon.
Pros and 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
- 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
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