Get started

• Install Open Copilot from VSCode marketplace.
• Set your llama.cpp server's address like http://192.168.0.101:8080 in the Cody>llama Server Endpoint configure.
• Now enjoy coding with your localized deploy models.

chat

Quick start your model service

Windows

1. Download llama.cpp binary release archive

2. Unzip llama-bxxx-bin-win-cublas-cuxx.x.x-x64.zip to folder

3. Download GGUF model file, for example: wizardcoder-python-13b-v1.0.Q4_K_M.gguf

4. Execute server.exe startup command.

# only use cpu
D:\path_to_unzip_files\server.exe -m D:\path_to_model\wizardcoder-python-13b-v1.0.Q4_K_M.gguf -t 8 -c 1024
# use gpu
D:\path_to_unzip_files\server.exe -m D:\path_to_model\wizardcoder-python-13b-v1.0.Q4_K_M.gguf -t 8 -ngl 81 -c 1024

Linux or MacOS

Please compile the llama.cpp project by yourself, and follow the same startup steps.

Contributing

All code in this repository is open source (Apache 2).

Quickstart: pnpm install && cd vscode && pnpm run dev to run a local build of the Cody VS Code extension.