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stew675/llama-cpp-rdna-boosts

A set of performant RDNA/HIP patches against llama.cpp focusing on high speed inferencing with numerics assurance

C++ ◇ assurance MIT
★196STARS
⑂16FORKS
!5ISSUES
🏆#19,461GLOBAL RANK
🔥42DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

llama-cpp-rdna-boosts is llama-cpp-rdna-boosts is an open-source project written in C++: A set of performant RDNA/HIP patches against llama.cpp focusing on high speed inferencing with numerics assurance..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), stew675/llama-cpp-rdna-boosts has accumulated 196 GitHub stars and 16 forks. It is written in C++, licensed under MIT, and ranks #19,461 globally. It is actively maintained with the latest commit recorded on Oct 18, 2026.”
Repository stew675/llama-cpp-rdna-boosts ↗
Primary Category assurance
Language & Stack C++
Software License MIT
Community Traction ★ 196 stars · ⑂ 16 forks · #19,461 globally
Maintenance ● Active (Last commit: Oct 18, 2026) · 5 open issues
Target Audience Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is llama-cpp-rdna-boosts actively maintained in 2026?
Verdict: Actively Maintained

Yes, llama-cpp-rdna-boosts is actively maintained. Continuous telemetry recorded the last code commit on Oct 18, 2026 (25 days ago). Supported by 196 stars and 16 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (25 days ago) and healthy issue cadence.

Commit Recency
Oct 18, 2026
25 days since last push
Issue Backlog
5 Open Issues
Healthy Issue Cadence
Community Backing
16 Forks
196 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for stew675/llama-cpp-rdna-boosts
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Momentum

+21

STARS · LAST 30 DAYS

1

PER DAY

#1,541

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+0+21+90
Per day111
Forks gained+0+3+10

llama-cpp-rdna-boosts gained 21 stars in the last 30 days, about 1 a day, and now has 196. It is about 1 year old and has averaged roughly 196 stars a year. It ranks #1,541 among C++ repositories and #19,461 across all languages on GitHubRepo.

Trending Record

llama-cpp-rdna-boosts has maintained a continuous presence across global trending indexes, peaking at #424. Below is the 30-day activity profile:

💡 Overview

llama-cpp-rdna-boosts is an open-source project written in C++: A set of performant RDNA/HIP patches against llama.cpp focusing on high speed inferencing with numerics assurance.

Engineered for speed, consistency, and developer ease, it solves common hurdles in assurance, hip, llama-cpp. 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/stew675/llama-cpp-rdna-boosts.git
cd llama-cpp-rdna-boosts

⚙ 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-rdna-boosts 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-rdna-boosts 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-rdna-boosts using your package manager: `git clone https://github.com/stew675/llama-cpp-rdna-boosts.git`

2

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

3

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

4

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

👍 Strengths

Active community backing with 136 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 ★ 201.6K C++

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ggml-org/llama.cpp ★ 134.2K C++

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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

stew675/llama-cpp-rdna-boosts is currently ranked #19,461 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#19,410 Brandon04Gonzalez/p5r-android C++ ★ 197 Compare ↗
#19,461 stew675/llama-cpp-rdna-boosts This Project C++ ★ 196
#19,461 llimllib/pymag-trees Python ★ 196 Compare ↗
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Frequently Asked Questions

What does llama-cpp-rdna-boosts do? +

A set of performant RDNA/HIP patches against llama.cpp focusing on high speed inferencing with numerics assurance

Is llama-cpp-rdna-boosts actively maintained in 2026? +

Yes, llama-cpp-rdna-boosts is actively maintained. The latest code push was recorded on Oct 18, 2026 (25 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 196 stars and 5 open issues.

What language is llama-cpp-rdna-boosts written in? +

The primary language is C++. Topics include: assurance, hip, llama-cpp, performance, rdna3.

How many stars does llama-cpp-rdna-boosts have? +

llama-cpp-rdna-boosts has 196 stars and 16 forks on GitHub.

How does llama-cpp-rdna-boosts rank among GitHub repositories? +

With 196 stars, stew675/llama-cpp-rdna-boosts is ranked #19,461 globally across all repositories tracked on GitHubRepo and #1,541 among C++ projects.

What license is llama-cpp-rdna-boosts distributed under? +

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

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