Step-by-step: run local models with GGML (~5min + download time for model weights)

Setup Python environment

1. Clone this repository git clone https://github.com/continuedev/ggml-server-example
2. Move into the folder: cd ggml-server-example
3. Create a virtual environment: python3 -m venv env
4. Activate the virtual environment: source env/bin/activate on Mac, env\Scripts\activate.bat on Windows, source env/bin/activate.fish if using fish terminal
5. Install required packages: pip install -r requirements.txt

Download a model

6. Download a model to the models/ folder
   • Here is a convenient source of models that can be downloaded: https://huggingface.co/TheBloke
   • For example, download 4-bit quantized WizardLM-7B from here (we recommend this model): https://huggingface.co/TheBloke/wizardLM-7B-GGML/blob/main/wizardLM-7B.ggmlv3.q4_0.bin

Serve the model

7. Run the server with python3 -m llama_cpp.server --model models/wizardLM-7B.ggmlv3.q4_0.bin

Use with Continue

8. To set this as your default model in Continue, you can open ~/.continue/config.json either manually or using the /config slash command in Continue. Then, import the GGML class (from continuedev.src.continuedev.libs.llm.ggml import GGML), set "default_model": "default=GGML(max_context_length=2048)", reload your VS Code window, and you're good to go!

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Any questions?

Happy to help. Email use at hi@continue.dev.