Welcome to Local LLM Guide 👋
Hi, I'm Ling. I'm a medical student who fell into AI by accident. No CS degree, no big tech job — just a laptop, a lot of curiosity, and a belief that AI should be for everyone.
Not sure where to start? Pick your path:
👨💻 For Developers
You want to run LLMs locally — on your own hardware, with your own data, without paying API fees.
| # | Article | Level | Read Time |
|---|---|---|---|
| 01 | Getting Started: Run Your First Local LLM in 5 Minutes | 🟢 Beginner | 5 min |
| 02 | Hardware Guide: What You Actually Need | 🟢 Beginner | 8 min |
| 03 | DeepSeek-R1: The $0 o1 Alternative | 🟡 Intermediate | 10 min |
| 04 | Qwen 3.6 & 2.5: The Most Versatile Local Models | 🟡 Intermediate | 10 min |
| 05 | Open WebUI: Your Local ChatGPT | 🟡 Intermediate | 8 min |
| 06 | GGUF & Modelfile: The Power User's Guide | 🟡 Intermediate | 12 min |
| 07 | Local RAG: Chat With Your Documents | 🟡 Intermediate | 10 min |
| 08 | Production-Ready Local LLMs: From Terminal to Team Deployment | 🔴 Advanced | 15 min |
| 09 | Function Calling for Local LLMs: DeepSeek, Qwen, GLM-4 & LangChain | 🔴 Advanced | 15 min |
👉 Full source code & scripts: GitHub: Lingdas1/local-llm-guide
🧑🏫 New to AI? Start Here
You've heard about AI but feel overwhelmed. You have a regular laptop and want to understand what's possible — in plain English, no jargon.
| # | Guide | Read Time |
|---|---|---|
| 01 | AI Is Too Expensive? I Run It for Free on My Laptop | 5 min |
| 02 | What Is an LLM? (No, It's Not Magic) | 6 min |
| 03 | Step-by-Step: Run Your First AI Model in 10 Minutes | Coming soon! |
| 04 | 5 Free Things You Can Do with Local AI | Coming soon! |
💡 Don't know where to start? Begin with Article 01 — it explains why you don't need money or technical skills to use AI.
All guides are written by a medical student who learned this stuff from zero. No assumed knowledge, no skipped steps.
📚 The Complete Guide (All-in-One)
If you prefer one long read, start here:
👉 The Complete Guide to Running LLMs Locally in 2026: From Ollama to Production
Covers everything from installing Ollama to production deployment — all in one article.
📊 What This Series Covers
🟢 Beginner ──────────────────────────────────────┐
├── 01. Getting Started (5 min setup) │
├── 02. Hardware Guide (what you need) │
│
🟡 Intermediate ──────────────────────────────────┤
├── 03. DeepSeek-R1 Guide │
├── 04. Qwen 3.6 & 2.5 Guide │
├── 05. Open WebUI Setup │
├── 06. GGUF & Modelfile Customization │
├── 07. Local RAG with AnythingLLM │
│
🔴 Advanced ──────────────────────────────────────┤
├── 08. Production Deployment │
├── 09. Function Calling & Tool Use │
│
📦 Bonus: Scripts + Docker Compose + Benchmarks │
All on GitHub ⬇️ │
│
GitHub.com/Lingdas1/local-llm-guide ──────────┘
🎯 Why This Series Exists
I started this journey because I was frustrated. Every AI tutorial assumed I had:
- Unlimited API budget ($200/month for ChatGPT Pro)
- A rack of A100 GPUs
- A CS degree from Stanford
Real life is different. I have a laptop, a curious mind, and no budget for API fees. I'm a medical student — not a software engineer.
If I can figure this out, so can you. That's the whole point of this series.
🔗 Quick Links
| What | Where |
|---|---|
| All source code | github.com/Lingdas1/local-llm-guide |
| Complete guide (one article) | Here |
| Beginner path | Start at Article #1 above |
| Developer path | Start at Article #3 above |
| Found this useful? | ⭐ Star the repo |
If this guide helped you, consider:
- ⭐ Starring the repo — it helps others find it and you'll get notified when new chapters drop
- 💬 Leaving a comment — I read every one
- 🔁 Sharing with a friend who's curious about running AI locally
Ling — May 2026
I'm a medical student sharing what I learn about local AI. No CS degree, no big tech — just honest guides for real people.
