ctx-0

ctx-0 / lazyllama

Public

a smol tool for managing local models

pypi.orgprojectlazyllama huggingface lmstudio ollama python
14
3
100% credibility
Found May 29, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

LazyLlama is a utility that automatically finds and displays AI models stored on your computer from HuggingFace, Ollama, and LM Studio, presenting them in a readable format with options for different views and data exports.

How It Works

1
🔍 You want to see your AI models

You've downloaded some AI models to your computer and want to know what you have and where they're stored.

2
📦 You install the tool

You run a simple installation command and the tool is ready to use on your computer.

3
✨ You run one command

You type a single command and the tool automatically searches your computer for models from HuggingFace, Ollama, and LM Studio.

4
📊 You see your model collection

A beautiful summary appears showing all your models, their sizes, and which source they came from.

5
You choose how to view them
📋
Simple view

A compact list showing just the essentials: names, sizes, and file counts

🌳
Tree view

A hierarchical view showing the full file structure inside each model

📄
Detailed view

Comprehensive information including actual filenames, formats, and technical details

🎉 You understand your collection

You now have a clear picture of all your AI models, how much space they take up, and where each one lives on your computer.

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Star Growth

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AI-Generated Review

What is lazyllama?

lazyllama is a Python CLI utility that discovers and catalogs local LLM models from HuggingFace, Ollama, and LM Studio. If you run multiple local AI tools, you probably have model files scattered across different directories. This tool scans those locations and gives you a unified view of everything you have installed. You get a quick summary of model counts, total storage used, and which sources hold what. The CLI supports different display modes: compact overview, detailed file listings, or hierarchical tree views. For automation, you can pipe JSON or raw data to other tools.

Why is it gaining traction?

Local AI is exploding with tools like Ollama, LM Studio, and text-generation-webui each maintaining their own model caches. lazyllama solves the "where did I put that 7B model?" problem by checking all the standard locations in one command. The `--add-dir` flag lets you scan custom paths, so it adapts to non-standard setups. Output modes like `--list` and `--json` make it scriptable for inventory reports or build pipelines. The tool uses the Rich library for readable terminal output, which makes scanning results actually pleasant to read.

Who should use this?

Developers running multiple local AI tools who need to audit their model collection. Data engineers building automated workflows around local inference. Anyone tired of hunting through hidden folders to figure out which quantized GGUF files they have. If you use Ollama, LM Studio, or HuggingFace locally and want a quick inventory check, this is the tool.

Verdict

At 14 stars and a 0.1% credibility score, lazyllama is early-stage software. It works for its core purpose but lacks the polish of mature projects: no visible test suite, minimal documentation beyond CLI flags, and single-maintainer risk. Approach with caution in production environments. For personal use or local tooling, it is useful enough to install and try. Run `lazyllama --debug` first to verify it found your model directories, then escalate to `--json` for programmatic access.

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