Your central resource for Ollama, LM Studio, models, setup, and projects • Updated Feb 2026
f you searched “what is ollama” (-10%), “ollama run” (+8%), or “ollama models” (+10%), you’re in the right place. Local LLMs are exploding in 2026—Claude Code searches are up 200%, Qwen is growing 20%, and OpenClaw just hit Breakout status.
But with all this growth comes confusion.
Which tool should I use?
How do I install it?
Which model is actually good at coding?
What can I build with this thing?
This guide answers everything. Bookmark it—you’ll come back.
📊 What 150,000+ Monthly Searches Tell Us
| Search Query | Trend | What It Means |
|---|---|---|
ollama | 100 interest | The category leader—everyone starts here |
claude code ollama | 🚀 +200% | Developers are FLOODING in—coding is the killer use case |
ollama claude code | 🚀 +190% | Same story, different phrasing |
ollama qwen | 📈 +20% | Qwen is the silent climber—don’t ignore it |
ollama mac | 📈 +5% | Apple Silicon users are adopting fast |
ollama windows | 📉 -20% | Not decline—Windows users are choosing LM Studio’s GUI |
ollama run | 📈 +8% | People moving from “what is” to “how do I use it” |
ollama models | 📈 +10% | “Which one should I download?” |
openclaw | 🆕 Breakout | New contender—watch this space |
docker ollama | 📈 +4% | Deployment matters |
ollama python | 📉 -10% | Still steady, but API interest is shifting |
ollama update | 📉 -30% | Users update less often—set it and forget it |
lm studio | 📉 -9% | Steady baseline—GUI demand remains strong |
Key Insight: Three distinct user journeys are emerging:
- Developers → Claude Code, Ollama, Mac/Linux, API, Docker
- Beginners/Windows → LM Studio, GUI, one-click install
- Model explorers → Qwen, OpenClaw, Llama, “which model?”
This guide serves all three.
🧭 Local LLM Ecosystem: Complete Map
text
┌─────────────────────────────────────┐
│ THE LOCAL LLM ECOSYSTEM │
│ Run AI on your own hardware │
└─────────────────────────────────────┘
│
┌─────────────────────────┼─────────────────────────┐
│ │ │
▼ ▼ ▼
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│ TOOLS │ │ MODELS │ │ PROJECTS │
│ (Which run?) │ │ (Which model?)│ │ (What build?) │
├───────────────┤ ├───────────────┤ ├───────────────┤
│ • Ollama │ │ • Claude Code │ │ • Open WebUI │
│ • LM Studio │ │ • Qwen 2.5 │ │ • VS Code AI │
│ • GPT4All │ │ • Llama 3.2 │ │ • Python API │
│ • llama.cpp │ │ • OpenClaw │ │ • n8n │
│ • vLLM │ │ • Phi-3 │ │ • Docker │
└───────────────┘ └───────────────┘ └───────────────┘
│ │ │
└───────────────┬─────────┴─────────┬───────────────┘
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ SETUP │ │ HARDWARE │
│ (How install?) │ │ (What specs?) │
└─────────────────┘ └─────────────────┘
🎯 Your Journey Starts Here
<div style=”display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 1.5rem; margin: 2rem 0;”><div style=”background: linear-gradient(145deg, #0f1318, #1a1e24); border-radius: 24px; padding: 1.8rem; border-left: 6px solid #4A90E2;”>
🚀 1. Choose Your Tool
Ollama vs LM Studio vs others
You searched: ollama vs lm studio (+40%), ollama windows (-20%), ollama mac (+5%)
We help you decide:
- Developer? → Ollama (API, Claude Code, Docker)
- Beginner/Windows? → LM Studio (GUI, one-click)
- Still unsure? → 30-second flowchart
📘 [Tool Comparison Guide →] /local-llm-guide/tool-comparison/</div><div style=”background: linear-gradient(145deg, #0f1318, #1a1e24); border-radius: 24px; padding: 1.8rem; border-left: 6px solid #48BB78;”>
🛠️ 2. Install & Set Up
Step-by-step for Windows, Mac, Linux
You searched: install ollama (+7%), ollama run (+8%), ollama mac (+5%), ollama linux (-10%), download ollama (-20%)
We give you:
- LM Studio: 2-minute GUI install
- Ollama: 30-second CLI install
- First model: 5 minutes to first chat
- GPU acceleration guides
📘 [Complete Setup Guide →] /local-llm-guide/setup-guide/</div><div style=”background: linear-gradient(145deg, #0f1318, #1a1e24); border-radius: 24px; padding: 1.8rem; border-left: 6px solid #9F7AEA;”>
🤖 3. Pick Your Model
Claude Code, Qwen, Llama, OpenClaw
You searched: ollama claude code (+190%), claude code ollama (+200%), ollama qwen (+20%), openclaw (Breakout), ollama models (+10%)
We rank them by:
- Coding ability
- RAM requirements
- Speed
- Tool compatibility
- + proven prompts that work
📘 [Model Decision Guide →] /local-llm-guide/model-decision-guide/</div><div style=”background: linear-gradient(145deg, #0f1318, #1a1e24); border-radius: 24px; padding: 1.8rem; border-left: 6px solid #FFB347;”>
💡 4. Build Projects
What to actually DO with local LLMs
You searched: ollama api (-20% but high intent), ollama python (-10%), docker ollama (+4%), ollama webui (-20%), open webui (-20%), n8n (+20%)
We show you:
- Local ChatGPT (Open WebUI)
- VS Code autocomplete (Continue.dev)
- API apps with Python + FastAPI
- Automation with n8n
- Docker deployment
📘 [Projects Guide →] /local-llm-guide/projects-guide/ (Coming soon)</div></div>
🔥 Trending Now: Feb 2026
| Trend | Status | What You Need to Know |
|---|---|---|
| Claude Code | 🚀 +200% | The coding model everyone wants. Ollama exclusive. [Setup guide →] |
| Qwen 2.5 | 📈 +20% | Multilingual king, strong coding, runs on both tools. [Prompts →] |
| OpenClaw | 🆕 Breakout | New Claude-style model. Early but promising. [First look →] |
| Ollama on Mac | 📈 +5% | Apple Silicon optimization is winning users. |
| Docker + Ollama | 📈 +4% | Deployment demand is real. |
| LM Studio | 📉 -9% | Steady baseline. Windows GUI remains strong. |
❓ Frequently Asked Questions (From Real Searches)
Q1: What is Ollama? *(searched 12x/day)*
A: Ollama is a command-line tool that makes running LLMs locally dead simple. One command (ollama run llama3.2) downloads the model, loads it, and starts a chat. It’s the most popular local LLM tool (interest score: 100) and the only way to run Claude Code officially.
Q2: Is Ollama better than LM Studio?
A: It depends on who you are.
- For developers: Yes. Ollama gives you API access, Docker support, Claude Code, and 10-20% faster performance.
- For beginners/Windows: No. LM Studio’s one-click GUI is smoother and requires zero terminal knowledge.
[See full comparison →]
Q3: Can I run Claude Code on LM Studio?
A: Officially, no. Claude Code models are distributed through Ollama. You can find GGUF variants on Hugging Face that run in LM Studio, but quality varies. For guaranteed performance, use Ollama.
Q4: What’s the best model for coding?
A: Claude Code 7B or 34B. This isn’t debated anymore. The +200% search growth tells you everything.
Q5: What’s the best model for low-RAM computers?
A: Phi-3 (3.8B) or Llama 3.2 3B. Both run on 4GB RAM and respond instantly.
Q6: How do I update Ollama?
A: ollama update in terminal. But searches are down (-30%) because it auto-updates or users just don’t think about it.
Q7: What is OpenClaw? Why is it “Breakout”?
A: OpenClaw is a new open-weight model with Claude-like architecture. “Breakout” means Google detected sudden, significant new search interest. We’re testing it now—early signs are promising.
Q8: Do I need a GPU?
A: No. 3B-8B models run fine on CPU with 8GB RAM. GPU makes larger models (14B+) usable.
🧭 Site Navigation
| Section | Best For | URL |
|---|---|---|
| 🏠 Home | Everyone—start here | /local-llm-guide/ |
| 🔧 Tool Comparison | Choosing Ollama vs LM Studio | /local-llm-guide/tool-comparison/ |
| 🛠️ Setup Guide | Installing and first run | /local-llm-guide/setup-guide/ |
| 🤖 Model Decision | Picking Claude, Qwen, Llama, OpenClaw | /local-llm-guide/model-decision-guide/ |
| 💡 Projects | What to build (coming soon) | /local-llm-guide/projects-guide/ |
📈 By the Numbers: Local LLM in 2026
| Metric | Value |
|---|---|
| Monthly “ollama” searches | 100 interest (baseline) |
| “claude code” growth | +200% |
| “ollama qwen” growth | +20% |
| “ollama mac” growth | +5% |
| “docker ollama” growth | +4% |
| “openclaw” status | Breakout |
| LM Studio interest | Steady (-9%) |
| Llama searches | -10% (mature) |
| OpenAI local interest | -40% (users moving to local) |