Awesome

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AI Copilot with LLaMA.cpp

"VSCode AI coding assistant powered by self-hosted llama.cpp endpoint."

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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

<img src="examples/chat_demo.gif" alt="chat with llama.cpp server"/>

code completion

<img src="examples/code_completion.gif" alt="code completion"/>

code generate

<img src="examples/code_generate_demo1.gif" alt="code generate"/>

code explain

<img src="examples/explain_code_demo1.gif" alt="explain code"/>

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.

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.