nvim-llama provides Neovim interfaces for interacting with Large Language Models (LLMs) locally via Ollama. It targets Neovim users who want to integrate LLM capabilities directly into their development workflow, offering a convenient way to chat with and utilize AI models within the editor.

How It Works

The plugin leverages Docker to manage and run LLM models and clients, abstracting away complex setup and dependencies. This Docker-centric approach ensures cross-platform compatibility (macOS, Linux, Windows) and simplifies model management, as specified models are automatically downloaded and managed by Ollama.

Quick Start & Requirements

• Installation: Use a Neovim package manager (Packer, lazy.nvim, vim-plug). Example for Packer: use 'jpmcb/nvim-llama'
• Prerequisites: Docker is required.
• Configuration: require('nvim-llama').setup({}) with optional model and debug parameters.
• Models: Supports various Ollama models (e.g., llama2, mistral, codellama). RAM requirements range from 8GB for 3B models to 64GB+ for 70B models.
• Usage: The :Llama command opens a terminal for chatting with the LLM.

Highlighted Details

• Docker-based architecture for simplified setup and cross-platform compatibility.
• Automatic model downloading and management via Ollama.
• Direct integration into Neovim for in-editor LLM interaction.

Maintenance & Community

The project is marked as "Under active development." No specific community links or contributor information are provided in the README.

Licensing & Compatibility

The README does not explicitly state a license.

Limitations & Caveats

The project is under active development and may contain bugs or undergo breaking changes. Docker is a mandatory requirement. Significant RAM is needed for larger models.