Built something? We create video reels & spotlights for GitHub projects.Promote your project →
tc-mb
Home / C++ / llama.cpp-omni

tc-mb/llama.cpp-omni

Omni inference in C/C++

★272STARS
⑂88FORKS
!26ISSUES
🏆#4,632GLOBAL RANK
🔥5DAYS TRENDING
🚀
Maintainer Growth Kit for llama.cpp-omni

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for tc-mb/llama.cpp-omni
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#341

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

llama.cpp-omni gained 10 stars in the last 30 days, about 1 a day, and now has 272. It is about 1 year old and has averaged roughly 272 stars a year. It ranks #341 among C++ repositories and #4,632 across all languages on GitHubRepo.

Trending Record

llama.cpp-omni has maintained a continuous presence across global trending indexes, peaking at #1119. Below is the 30-day activity profile:

💡 Overview

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

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

⚡ Key Features

1

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

2

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

3

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

4

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

5

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

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/tc-mb/llama.cpp-omni.git
cd llama.cpp-omni

⚙ 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-omni 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-omni 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

1

Install llama.cpp-omni using your package manager: `git clone https://github.com/tc-mb/llama.cpp-omni.git`

2

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

3

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

4

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

👍 Strengths

Active community backing with 269 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

T
tensorflow/tensorflow ★ 200.6K C++

An Open Source Machine Learning Framework for Everyone

Compare ↗
L
ggml-org/llama.cpp ★ 129.8K C++

LLM inference in C/C++

Compare ↗
R
react/react-native ★ 126.8K C++

A framework for building native applications using React

Compare ↗
T
microsoft/terminal ★ 105K C++

The new Windows Terminal and the original Windows console host, all in the same place!

Compare ↗

👥 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

tc-mb/llama.cpp-omni is currently ranked #4,632 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,622 symplify/phpstan-rules PHP ★ 273 Compare ↗
#4,622 torikushiii/hoyolab-auto JavaScript ★ 273 Compare ↗
#4,622 tetherto/wdk JavaScript ★ 273 Compare ↗
#4,622 stffnb/edentext TypeScript ★ 273 Compare ↗
#4,622 ResistanceTo/MiniWatts Swift ★ 273 Compare ↗
#4,632 tc-mb/llama.cpp-omni This Project C++ ★ 272
#4,632 tomkerkhove/promitor C# ★ 272 Compare ↗
#4,632 mmtaee/ocserv-dashboard Go ★ 272 Compare ↗
#4,632 Shopify/spoom Ruby ★ 272 Compare ↗
#4,632 supergeorg/Grocy-SwiftUI Swift ★ 272 Compare ↗
#4,632 apple/swift-openapi-runtime Swift ★ 272 Compare ↗

Frequently Asked Questions

What does llama.cpp-omni do? +

Omni inference in C/C++

What language is llama.cpp-omni written in? +

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

Is llama.cpp-omni actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 26 open issues being tracked.

How many stars does llama.cpp-omni have? +

llama.cpp-omni has 272 stars and 88 forks on GitHub.

How does llama.cpp-omni rank among GitHub repositories? +

With 272 stars, tc-mb/llama.cpp-omni is ranked #4,632 globally across all repositories tracked on GitHubRepo and #341 among C++ projects.

What license is llama.cpp-omni distributed under? +

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

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.