"VSCode AI coding assistant powered by self-hosted llama.cpp endpoint."
Get started
- Install Open Copilot from the VSCode marketplace.
- Set your llama.cpp server's address to something such as
http://192.168.0.101:8080 in the "Cody » Llama Server Endpoint" setting.
- Now enjoy coding with your localized deploy models.
chat
code completion
code generate
code explain
Quick start your model service
Windows
Download llama.cpp binary release archive
Unzip llama-bxxx-bin-win-cublas-cuxx.x.x-x64.zip to folder
Download GGUF model file, for example: wizardcoder-python-13b-v1.0.Q4_K_M.gguf
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.
What is Cody?
Cody is a free, open-source AI coding assistant that can write and fix code, provide AI-generated autocomplete, and answer your coding.
Contributing
All code in this repository is open source (Apache 2).
Quickstart: pnpm install --save && cd vscode && vsce package --no-dependencies to run a local build of the Cody VS Code extension.
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