I will set up ollama and a private local llm on your mac or pc

A
arasyildirim498
A
arasyildirim498
Aras Y.

About this gig

Want AI chat, image generation and voice tools that run 100% on your own Mac or PC, with no monthly fees and no data leaving your computer?


I set up Ollama and a private AI studio on Apple Silicon Macs (M1 to M4) or Windows/Linux PCs with an NVIDIA GPU, and make it easy to use, even if you have never opened the Terminal. I run local AI daily on my own M3 Max MacBook Pro and build on-premise AI systems for industrial clients, so I know which models actually run well on your Mac's memory.


What I can set up:

  • Private AI chat with open models (Llama, Qwen, Mistral, Gemma)
  • Chat with your own documents (PDF, Word, notes) offline
  • Local image generation with a visual app, several styles
  • Speech to text (Whisper) for meetings and voice notes
  • One-click shortcuts and models tuned to your Mac's memory

You get a working setup, an illustrated step-by-step PDF guide for non-technical users, and a short live check call. Questions later? Ask me in Fiverr chat.


Everything comes from official open-source sources, and I explain each model's license if you plan commercial use.


Please message me before ordering with your Mac model, memory (RAM) and what you want to use AI for.

Get to know Aras Y.

Aras Y.

Computer Vision Engineer, YOLO and CCTV AI

  • FromTurkey
  • Member sinceAug 2022
  • Avg. response time1 hour
  • Languages

    English, Turkish, Ukrainian
Computer Vision Engineer and founder of Omnisight, an AI video analytics company. I build AI that runs on real CCTV cameras, 24/7, not just in a notebook. My systems are live in steel factories: PPE detection (helmet, vest, gloves) and crane safety monitoring with oriented boxes and rule-based alarms. I train and deploy custom YOLO models, connect them to IP cameras and NVRs (RTSP), and optimize them with TensorRT. I also build the stack around them: Python, Django, React, Docker. Honest scoping, clear communication, tested on your own footage.

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