I will create offline llm using ollama

K
kimmonzon
K
kimmonzon
AIDevKim
create offline llm using ollama
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create offline llm using ollama

About this gig

I'll build you a private, offline LLM or self-hosted AI system no cloud, no API fees, no data leaving your machine.

I set up local language models (via Ollama/llama.cpp) that run entirely on your own hardware a laptop, desktop, or dedicated server. Whether you need a simple offline chatbot, a custom AI assistant that can search your own documents (RAG), or a full self-hosted system with multiple models and automation agents, I'll configure it end-to-end and optimize it for your specific hardware.

Ideal for professionals, businesses, and teams who need AI that works without internet access, keeps sensitive data private, or wants to avoid recurring API costs.

What you get: a working local AI setup, tailored to your use case, with clear documentation so you can run and maintain it yourself.

  • AI engine

    • Gemini
    • Azure OpenAI
    • Mistral AI
    • DeepSeek
    • Meta Llama
    • Hugging Face
    • Ollama
    • OpenRouter

  • Tools & frameworks

    • Other

  • AI solution type

    • AI agent
    • AI chatbot
    • Rag system
    • AI workflow
    • AI copilot
    • AI assistant
    • Internal AI tool

  • Purpose

    • Research
    • Workflow automation
    • Internal operations
    • It support

Get to know AIDevKim

AIDevKim

FullStack Developer AI Integration, Python, React, AWS, Vector DBs

  • FromSpain
  • Member sinceFeb 2019

  • Languages

    English, Spanish
🔧 Architecture: Custom workflows, on-prem/hybrid AWS, scalable solutions 💻 Front-End: React, Angular, TypeScript ⚙️ Back-End: Python (Django/Flask), PHP (Laravel/Symfony), Node.js/Express 🔐 IAM: Keycloak, OIDC/OAuth2, SAML, SSO 🖥️ Offline LLMs: Ollama, model selection, quantization, token tuning, benchmarking 🧠 AI/ML: Embeddings, vector search, Milvus

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