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ggml-org/llama.cpp

LLM inference in C/C++

C++ ◇ ggml MIT

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★129.8KSTARS

⑂23.9KFORKS

!2,558ISSUES

🏆#51GLOBAL RANK

🔥4DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for ggml-org/llama.cpp

Momentum

+3.2K

STARS · LAST 30 DAYS

108

PER DAY

MOST-STARRED C++

Window	7 days	30 days	90 days
Stars gained	+756	+3.2K	+9.7K
Per day	108	108	108
Forks gained	+119	+477	+1.2K

llama.cpp gained 3.2K stars in the last 30 days, about 108 a day, and now has 129.8K. It is about 4 years old and has averaged roughly 32.4K stars a year. It ranks #2 among C++ repositories and #51 across all languages on GitHubRepo.

Trending Record

llama.cpp has maintained a continuous presence across global trending indexes, peaking at #77. Below is the 30-day activity profile:

💡 Overview

llama.cpp is an open-source project written in C++: LLM inference in C/C++.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ggml. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

Optimized execution pipeline written in C++ for predictable speed.

Zero-friction configuration with comprehensive sensible defaults out of the box.

Cross-platform runtime support across Linux, macOS, and Windows environments.

Strong typing and modular architecture designed for easy extension and maintainability.

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp

$ git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp

> git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

llama.cpp coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed llama.cpp into C++ backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

Install llama.cpp using your package manager: `git clone https://github.com/ggml-org/llama.cpp.git`

Initialize your project workspace or configuration file for llama.cpp.

Import llama.cpp into your codebase or invoke it directly from your terminal.

Execute your test suite or run `llama.cpp --help` to verify successful setup.

👍 Strengths

Active community backing with 129,518 GitHub stars and verified adoption.

Permissive open-source distribution under the MIT license.

Built in C++ for high execution speed and developer familiarity.

Cross-platform compatibility across modern Linux, macOS, and Windows environments.

Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.

Ecosystem extensions may require manual configuration depending on environment constraints.

Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ggml-org/llama.cpp is currently ranked #51 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#46	farion1231/cc-switch	Rust	★ 137.5K	Compare ↗
#47	Comfy-Org/ComfyUI	Python	★ 135K	Compare ↗
#48	garrytan/gstack	TypeScript	★ 134.3K	Compare ↗
#49	excalidraw/excalidraw	TypeScript	★ 133.1K	Compare ↗
#50	nextlevelbuilder/ui-ux-pro-max-skill	Python	★ 131K	Compare ↗
#51	ggml-org/llama.cpp This Project	C++	★ 129.8K
#52	Chalarangelo/30-seconds-of-code	JavaScript	★ 129.2K	Compare ↗
#53	kubernetes/kubernetes	Go	★ 128K	Compare ↗
#54	react/react-native	C++	★ 126.8K	Compare ↗
#55	openai/codex	Rust	★ 126.7K	Compare ↗
#56	shadcn-ui/ui	TypeScript	★ 124.7K	Compare ↗

Frequently Asked Questions

What does llama.cpp do? +

LLM inference in C/C++

What language is llama.cpp written in? +

The primary language is C++. Topics include: ggml.

Is llama.cpp actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 2,558 open issues being tracked.

How many stars does llama.cpp have? +

llama.cpp has 129,763 stars and 23,851 forks on GitHub.

How does llama.cpp rank among GitHub repositories? +

With 129,763 stars, ggml-org/llama.cpp is ranked #51 globally across all repositories tracked on GitHubRepo and #2 among C++ projects.

What license is llama.cpp distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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LinkedIn

Why llama.cpp is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 129,763 developers have starred ggml-org/llama.cpp, an impressive C++ open-source project designed to LLM inference in C/C++.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 129,763 GitHub stars and 23,851 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/ggml-org/llama.cpp
⭐ GitHub Repository: https://github.com/ggml-org/llama.cpp

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #C

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: llama.cpp – A free, self-hosted tool that lets you LLM inference in C/C++

Hey everyone,

I wanted to share an interesting open-source project called **llama.cpp** (https://github.com/ggml-org/llama.cpp) that has been picking up heavy momentum lately (129,763 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. llama.cpp was built with a local-first philosophy, allowing developers to LLM inference in C/C++ without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** C++
- **License:** MIT
- **GitHub:** [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/ggml-org/llama.cpp](https://githubrepo.cloud/repo/ggml-org/llama.cpp)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: llama.cpp – LLM inference in C/C++

Hi HN,

llama.cpp is an open-source C++ project designed to LLM inference in C/C++.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/ggml-org/llama.cpp
Documentation & Metrics: https://githubrepo.cloud/repo/ggml-org/llama.cpp

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, c, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet llama.cpp (129,763 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet llama.cpp
published: true
tags: opensource, c, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp)**, a rapidly rising repository with **129,763 GitHub stars** and **23,851 forks**.

### What is llama.cpp?

> LLM inference in C/C++

Written in **C++**, llama.cpp runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in C++.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#51** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/ggml-org/llama.cpp).

### Quick Start
To get started locally:

```bash
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
```

Check out the full repository and star history analytics here:
- **GitHub:** [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp)
- **Star Velocity Tracker:** [llama.cpp on GitHubRepo.cloud](https://githubrepo.cloud/repo/ggml-org/llama.cpp)

𝕏

X / Twitter Communities

Thread / Community Post for llama.cpp

Developers are sleeping on this GitHub repo 👇

ggml-org/llama.cpp (129,763 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: LLM inference in C/C++
💻 Built with: C++
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/ggml-org/llama.cpp

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out ggml-org/llama.cpp.

It already has over 129,763 stars and lets you LLM inference in C/C++.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/ggml-org/llama.cpp

From our network

ggml-org/llama.cpp

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Production System Integration

CI/CD Automated Pipelines

Developer Tooling & Workflows

Open Source Extension

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

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