LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash
LLM-Manager is a Bash suite designed to manage local and remote inference engines for Large Language Models. It aims to simplify the orchestration of models like Ollama and Llama.cpp without the complexity of heavy dependencies. The system features a modular architecture and dual-output for both human-readable and structured JSON data.
- ▪LLM-Manager is a lightweight orchestration suite written entirely in pure Bash.
- ▪It allows users to manage multiple inference engines with zero cognitive load and no runtime dependencies.
- ▪The system is cross-platform, running seamlessly on both Linux and Windows/WSL2 environments.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3819596) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Marco Sbragi Posted on May 29 LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash #bash #ai #opensource #devops LLM-Manager is a lightweight, modular Bash suite with a dual JSON/Interactive interface designed to manage local and remote inference engines across Linux and WSL2. When I started experimenting with Large Language Models (LLMs) to build an On-Premise RAG (Retrieval-Augmented Generation) application, I hit a massive roadblock: environment fragmentation.
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