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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.

C++ ◇ cuda MIT
★120STARS
⑂16FORKS
!3ISSUES
🏆#24,476GLOBAL RANK
🔥45DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

pxa is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), poisonxa16/pxa has accumulated 120 GitHub stars and 16 forks. It is written in C++, licensed under MIT, and ranks #24,476 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository poisonxa16/pxa ↗
Primary Category cuda
Language & Stack C++
Software License MIT
Community Traction ★ 120 stars · ⑂ 16 forks · #24,476 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 3 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: 93/100 · Grade A+
✅
Is pxa actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, pxa is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 120 stars and 16 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 11, 2026
2 days since last push
Issue Backlog
3 Open Issues
Healthy Issue Cadence
Community Backing
16 Forks
120 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for poisonxa16/pxa
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Momentum

+53

STARS · LAST 30 DAYS

2

PER DAY

#1,886

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+53+53+180
Per day822
Forks gained+7+7+10

pxa gained 53 stars in the last 30 days, about 2 a day, and now has 120. It is about 1 year old and has averaged roughly 120 stars a year. It ranks #1,886 among C++ repositories and #24,476 across all languages on GitHubRepo.

Trending Record

pxa has maintained a continuous presence across global trending indexes, peaking at #1495. 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

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/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

1

Install pxa using your package manager: `git clone https://github.com/poisonxa16/pxa.git`

2

Initialize your project workspace or configuration file for pxa.

3

Import pxa into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 48 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++

An Open Source Machine Learning Framework for Everyone

Compare ↗
L
ggml-org/llama.cpp ★ 134.2K C++

LLM inference in C/C++

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

A framework for building native applications using React

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E
electron/electron ★ 123.8K C++

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

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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

poisonxa16/pxa is currently ranked #24,476 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#24,396 CRFXN5C/mcd-mcp-kit Python ★ 121 Compare ↗
#24,396 rtmandreyev/construct Python ★ 121 Compare ↗
#24,396 AetherLabsAI/RobotAgentBench Python ★ 121 Compare ↗
#24,396 khanh020905/my-office JavaScript ★ 121 Compare ↗
#24,396 muhraufan/robodust Swift ★ 121 Compare ↗
#24,476 poisonxa16/pxa This Project C++ ★ 120
#24,476 adkron/actsaswizard Ruby ★ 120 Compare ↗
#24,476 codyfauser/ebay Ruby ★ 120 Compare ↗
#24,476 cainlevy/snail Ruby ★ 120 Compare ↗
#24,476 zueos/ZIStoreButton Objective-C ★ 120 Compare ↗
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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.

Is pxa actively maintained in 2026? +

Yes, pxa is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 120 stars and 3 open issues.

What language is pxa written in? +

The primary language is C++. Topics include: cuda, gguf, llama-cpp, models, p100.

How many stars does pxa have? +

pxa has 120 stars and 16 forks on GitHub.

How does pxa rank among GitHub repositories? +

With 120 stars, poisonxa16/pxa is ranked #24,476 globally across all repositories tracked on GitHubRepo and #1,886 among C++ projects.

What license is pxa distributed under? +

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

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