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Awesome Local LLMs: Compare Open-Source Projects

Assess popularity and activeness of local LLM projects with awesome-local-llms, for founders and developers, with 765 GitHub stars.
intermediate⏱ 30 minutes💵 Free (self-hosted)
808 stars+2★ this week78 forksPythonGuide quality 9/10 · reviewed Jul 2Updated 10/5/2026100% free · open source
What it is

Use Awesome Local LLMs to compare open-source local large language model projects.

Real use case example

"A founder, John, wants to build a chatbot for his e-commerce website. He uses Awesome Local LLMs to compare the metrics of three popular open-source LLMs: BLOOM, LLaMA, and LAMBERT. After the comparison, John chooses LLaMA for his project due to its high accuracy and low computational requirements. He then configures LLaMA to integrate with his website's API and trains the model to understand customer inquiries."

Best insideCodex CLIClaude DesktopSelf-hosted
When to use it
  • •When evaluating open-source local LLM projects for a startup
  • •To compare the activeness of different local LLM projects
  • •When researching popular local LLM projects for a development team
Ready-to-paste prompt
python awesome-local-llms.py --project transformers --project t5
Heads up: The tool requires Python 3.8 or higher to run, and the 'requirements.txt' file must be installed successfully before executing the comparison script
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/awesome-local-llms && curl -fsSL https://workflowstacks.com/api/skills/awesome-local-llms/claude-skill -o ~/.claude/skills/awesome-local-llms/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How Awesome Local LLMs: Compare Open-Source Projects works
Codeflow
Free to inspect

Awesome Local LLMs: Compare Open-Source Projects is a medium Python project (~5.5k lines across 26 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, MIT license, has a test suite.

Size
Medium codebase
~5.5k lines · 26 code files · 46 min skim
Setup
Some technical setup
Comfortable with a terminal? 20–40 min. Otherwise ask a dev.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
docs/Documentation10 files
scraper/Folder29 files
db/Folder1 files
.github/CI / automation (GitHub Actions)7 files
assets/Images & static assets1 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
vince-lam
Language
Python
Category
analytics
Published
2/29/2024

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/awesome-local-llms.svg)](https://workflowstacks.com/skills/awesome-local-llms?utm_source=github&utm_medium=badge)
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