poisonxa16/pxa
The set-and-forget LLM engine for Pascal and Volta: PXQ codec + kernels, auto-tuned per card. Ready-to-run PXQ models in MODELS.md; benchmarks vs llama.cpp in the README.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#498
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
pxa gained 10 stars in the last 30 days, about 1 a day, and now has 52. It is about 1 year old and has averaged roughly 52 stars a year. It ranks #498 among C++ repositories and #7,304 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#1400
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
pxa has maintained a continuous presence across global trending indexes, peaking at #1400. Below is the 30-day activity profile:
💡 Overview
pxa is an open-source project written in C++: The set-and-forget LLM engine for Pascal and Volta: PXQ codec + kernels, auto-tuned per card. Ready-to-run PXQ models in MODELS.md; benchmarks vs llama.cpp in the README.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, gguf, llama-cpp. 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/poisonxa16/pxa.git
cd pxa⚙ 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
pxa 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with pxa.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install pxa using your package manager: `git clone https://github.com/poisonxa16/pxa.git`
Initialize your project workspace or configuration file for pxa.
Import pxa into your codebase or invoke it directly from your terminal.
Execute your test suite or run `pxa --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
poisonxa16/pxa is currently ranked #7,304 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,288 | danielgomesvieira2000/beetle-adventure-racing-recomp | C++ | ★ 53 | Compare ↗ |
| #7,288 | Ikaleio/lm-detector | TypeScript | ★ 53 | Compare ↗ |
| #7,288 | GPUtw-ai/GPUtw-Skill | TypeScript | ★ 53 | Compare ↗ |
| #7,288 | KoreanSeats1/Theft4 | C++ | ★ 53 | Compare ↗ |
| #7,288 | YuutaTsubasa/Free-Riders-Recompiled | C++ | ★ 53 | Compare ↗ |
| #7,304 | poisonxa16/pxa This Project | C++ | ★ 52 | |
| #7,304 | ebassi/json-glib | C | ★ 52 | Compare ↗ |
| #7,304 | stympy/openid-rails-kit | Ruby | ★ 52 | Compare ↗ |
| #7,304 | rpheath/google_ajax_libraries_api | Ruby | ★ 52 | Compare ↗ |
| #7,304 | tomasr/filemap | C# | ★ 52 | Compare ↗ |
| #7,304 | metajack/commitbot | Python | ★ 52 | Compare ↗ |
Frequently Asked Questions
What does pxa do? +
The set-and-forget LLM engine for Pascal and Volta: PXQ codec + kernels, auto-tuned per card. Ready-to-run PXQ models in MODELS.md; benchmarks vs llama.cpp in the README.
What language is pxa written in? +
The primary language is C++. Topics include: cuda, gguf, llama-cpp, models, p100.
Is pxa actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 1 open issues being tracked.
How many stars does pxa have? +
pxa has 52 stars and 8 forks on GitHub.
How does pxa rank among GitHub repositories? +
With 52 stars, poisonxa16/pxa is ranked #7,304 globally across all repositories tracked on GitHubRepo and #498 among C++ projects.
What license is pxa distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
