FauxPilot

FauxPilot is a locally hosted alternative to GitHub Copilot that utilizes SalesForce CodeGen models in NVIDIA's Triton Inference Server with the FasterTransformer backend. This software provides a convenient and efficient way to generate code suggestions and assist developers in their coding tasks.

Key Features:

1. Docker-based Solution: FauxPilot is built on Docker, making it easy to set up and deploy the software.

2. NVIDIA GPU Support: The software requires an NVIDIA GPU with Compute Capability of 6.0 or higher and sufficient VRAM to run the desired model.

3. Model Customization: Users can choose from different models available on Huggingface/Moyix and download them for use with FauxPilot.

4. Multiple GPU Support: FauxPilot allows for splitting the model across multiple GPUs, enabling efficient utilization of resources.

5. Client Connectivity Options: FauxPilot offers various ways to connect to the server, including OpenAI API, Copilot Plugin, and REST API.

6. Extensive Terminology Support: The software supports various APIs, including gRPC and JSON, and utilizes technologies like CUDA and FT.

Use Cases:

1. Code Generation: FauxPilot can be used to generate code suggestions and assist developers in writing code more efficiently.

2. Developer Productivity: By providing intelligent code suggestions, FauxPilot enhances developer productivity and reduces the time spent on repetitive coding tasks.

3. Learning Tool: FauxPilot can serve as a valuable learning tool for developers, helping them understand coding patterns and best practices.

FauxPilot is a powerful software tool that offers a locally hosted alternative to GitHub Copilot. With its key features such as Docker-based setup, NVIDIA GPU support, and customizable models, FauxPilot provides developers with an efficient and convenient way to generate code suggestions. Whether it's for code generation, improving developer productivity, or enhancing learning, FauxPilot proves to be an invaluable asset for developers seeking assistance in their coding tasks.