ejajmahmud/ai-vllm-qnn

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stars

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Python

primary language

Jul 30, 2026

updated

README

ai-vllm-qnn

Hey there! This is a complete project repository featuring Python AI, custom vLLM Plugins, or AI Automations.

Improvements Added

  • Standardized Execution Harness: Injected a clean, unified runtime test launcher (ai_runner.py) at the root of the project to simplify local execution, config injection, and model evaluation.

Why this repository exists

I source and maintain clean, reference codebases across various technologies (including AI agent pipelines, web apps, mobile apps, workflow integrations, and system utilities). This repository is kept public to serve as a reference or clean starting point for fellow developers.

Tech Stack & Highlights

  • Primary Tech Stack: Python (AI / Agent Automation)
  • Zero bloat, clean directories, and fully structured.

How to run or use

  1. Clone this repository to your local workspace.
  2. Install the necessary dependencies (e.g. check configuration files like requirements.txt or package.json).
  3. Setup your environment keys (e.g., OPENAI_API_KEY).
  4. Execute the standardized launcher: python ai_runner.py

Feel free to fork, explore, or reach out if you have any questions! Created and maintained by Md Ejaj Mahmud.

ejajmahmud/ai-vllm-qnn

0

stars

0

commits

Python

primary language

Jul 30, 2026

updated

README

ai-vllm-qnn

Hey there! This is a complete project repository featuring Python AI, custom vLLM Plugins, or AI Automations.

Improvements Added

  • Standardized Execution Harness: Injected a clean, unified runtime test launcher (ai_runner.py) at the root of the project to simplify local execution, config injection, and model evaluation.

Why this repository exists

I source and maintain clean, reference codebases across various technologies (including AI agent pipelines, web apps, mobile apps, workflow integrations, and system utilities). This repository is kept public to serve as a reference or clean starting point for fellow developers.

Tech Stack & Highlights

  • Primary Tech Stack: Python (AI / Agent Automation)
  • Zero bloat, clean directories, and fully structured.

How to run or use

  1. Clone this repository to your local workspace.
  2. Install the necessary dependencies (e.g. check configuration files like requirements.txt or package.json).
  3. Setup your environment keys (e.g., OPENAI_API_KEY).
  4. Execute the standardized launcher: python ai_runner.py

Feel free to fork, explore, or reach out if you have any questions! Created and maintained by Md Ejaj Mahmud.

Languages

Python

69.2%

C++

28.0%

CMake

2.9%