VScode extension to integrate with locally running codellama LLM

• Download and install ollama
• Pull the 3 codellama models:

ollama pull codellama:13b-instruct
ollama pull codellama:13b-code
ollama pull codellama:13b-python

Both the following modes (Instruct & auto-complete) are triggered using the Trigger Inline Suggestion command in VSCode Cmd + Shift + P

Automatic triggers are not supported

Trigger Codellama: Ask and provide a prompt for instruction based question answering.

This uses codellama:13b-instruct

Trigger Codellama: Explain to explain the selected code. If no selection is provided, it will aim to explain the full document

This uses codellama:13b-instruct

Write any code and trigger a code completion for it using Trigger Inline Completion

Based on the filetype, it will use codellama:13b-python for Python and codellama:13b-code for other languages

When switching languages or models within a session, the initial prompt on a switch can be slow, as the new model needs to be loaded into memory In case you end up loading all 3 models, you might run out of RAM

• Visual Studio Code's Example for Inline Completion
• Implement Busy Indicator in VSCode extension

Enjoy!