Apolog1ze-Dev/QwFNfer
A custom inference engine tuned for Qwen4 architecture. Currently runs Qwen3.8-Flash-Next at 15+ tok/s on 16GB of VRAM and 30 GB of RAM
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,042
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +1 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
QwFNfer gained 10 stars in the last 30 days, about 1 a day, and now has 49. It is about 1 year old and has averaged roughly 49 stars a year. It ranks #1,042 among C++ repositories and #14,953 across all languages on GitHubRepo.
Trending Record
14
DAYS ON TRENDING
#1737
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
QwFNfer has maintained a continuous presence across global trending indexes, peaking at #1737. Below is the 30-day activity profile:
💡 Overview
QwFNfer is an open-source project written in C++: A custom inference engine tuned for Qwen4 architecture. Currently runs Qwen3.8-Flash-Next at 15+ tok/s on 16GB of VRAM and 30 GB of RAM.
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
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
$ git clone https://github.com/Apolog1ze-Dev/QwFNfer.git
cd QwFNfer⚙ 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
QwFNfer 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 QwFNfer 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 Apache-2.0 license.
🚀 Getting Started
Install QwFNfer using your package manager: `git clone https://github.com/Apolog1ze-Dev/QwFNfer.git`
Initialize your project workspace or configuration file for QwFNfer.
Import QwFNfer into your codebase or invoke it directly from your terminal.
Execute your test suite or run `QwFNfer --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
Apolog1ze-Dev/QwFNfer is currently ranked #14,953 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,912 | schacon/git-lighthouse | Ruby | ★ 50 | Compare ↗ |
| #14,912 | CraneBW/ninfer-ternary-bonsai-ada | C++ | ★ 50 | Compare ↗ |
| #14,912 | artemnovichkov/iPhone-Duo-by-Examples | Swift | ★ 50 | Compare ↗ |
| #14,912 | dongnguyenvie/BashCut | Swift | ★ 50 | Compare ↗ |
| #14,912 | flaviocopes/skillscout | Swift | ★ 50 | Compare ↗ |
| #14,953 | Apolog1ze-Dev/QwFNfer This Project | C++ | ★ 49 | |
| #14,953 | Tobi1chi/OpenRayneo | Swift | ★ 49 | Compare ↗ |
| #14,953 | nano-muse/nanoMuse | Swift | ★ 49 | Compare ↗ |
| #14,953 | courtenay/can_flag | Ruby | ★ 49 | Compare ↗ |
| #14,953 | galtzo-floss/capistrano_mailer | Ruby | ★ 49 | Compare ↗ |
| #14,953 | jonathanbranam/redsun | ActionScript | ★ 49 | Compare ↗ |
Frequently Asked Questions
What does QwFNfer do? +
A custom inference engine tuned for Qwen4 architecture. Currently runs Qwen3.8-Flash-Next at 15+ tok/s on 16GB of VRAM and 30 GB of RAM
What language is QwFNfer written in? +
The primary language is C++. Topics include: software.
Is QwFNfer actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 4 open issues being tracked.
How many stars does QwFNfer have? +
QwFNfer has 49 stars and 7 forks on GitHub.
How does QwFNfer rank among GitHub repositories? +
With 49 stars, Apolog1ze-Dev/QwFNfer is ranked #14,953 globally across all repositories tracked on GitHubRepo and #1,042 among C++ projects.
What license is QwFNfer distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
