Why Ollama + QWED?
✅ $0 Cost - No API fees, just electricity✅ 100% Private - Data never leaves your machine
✅ Full Control - Choose any model (Llama 3, Mistral, Phi, etc.)
✅ Fast - Local inference, no network latency
✅ Perfect for: Students, hobbyists, privacy-focused developers
Quick Start (5 Minutes)
Step 1: Install Ollama
macOS/Linux:Step 2: Pull a Model
Step 3: Start Ollama Server
Step 4: Install QWED
Step 5: Use QWED with Ollama!
Option A: Backend Server (Recommended)Supported Models
QWED works with any Ollama model! Tested with:| Model | Size | Best For | Speed |
|---|---|---|---|
| llama3 | 8B | General use, best accuracy | ⚡⚡⚡ |
| mistral | 7B | Fast, good quality | ⚡⚡⚡⚡ |
| phi3 | 3.8B | Low memory, decent accuracy | ⚡⚡⚡⚡⚡ |
| codellama | 7B | Code verification | ⚡⚡⚡ |
| gemma | 7B | Google’s model | ⚡⚡⚡ |
Complete Example
Cost Comparison
| Setup | Monthly Cost | Best For |
|---|---|---|
| Ollama (Local) | $0 💚 | Students, hobbyists, privacy |
| OpenAI GPT-4o-mini | ~$5-10 | Startups, quick prototypes |
| Anthropic Claude | ~$20-50 | Production, best accuracy |
| OpenAI GPT-4 | ~$50-100 | Enterprises, critical systems |
Hardware Requirements
Minimum (Phi3, small models):- 8GB RAM
- No GPU required (CPU only)
- Works on: M1 Mac, modern laptops
- 16GB RAM
- GPU with 6GB+ VRAM (optional, speeds up inference)
- Works on: M1/M2 Mac, NVIDIA RTX 3060+
- 32GB+ RAM
- NVIDIA RTX 4090 / Apple M2 Ultra
- Can run: Llama 3 70B, CodeLlama 34B
Troubleshooting
Ollama not responding
Connection refused
Slow inference
Alternative Local LLM Tools
QWED also works with:- LM Studio - GUI for local models
- LocalAI - Drop-in OpenAI replacement
- text-generation-webui - Advanced UI
- vLLM - High-performance inference
Privacy Benefits
Data that NEVER leaves your machine:- ✅ Prompts & queries
- ✅ LLM responses
- ✅ Verification results
- ✅ User information
- 🏥 Healthcare (HIPAA compliance)
- 🏦 Finance (sensitive data)
- 🏛️ Government (classified info)
- 🔬 Research (confidential experiments)
Next Steps
Expand your setup:- Try different models:
ollama pull <model> - Fine-tune for your domain
- Deploy to production (Docker + Ollama)
- Start free with Ollama
- Switch to cloud APIs for scale
- QWED works with both seamlessly!
Community
Questions?- 💬 Discussions: https://github.com/QWED-AI/qwed-verification/discussions
- 🐛 Issues: https://github.com/QWED-AI/qwed-verification/issues
- 📖 Docs: https://docs.qwedai.com
- Tweet with #QWED #Ollama
- Share your use case
- Help others get started
Remember: QWED is model agnostic. Start free with Ollama, scale to cloud when ready! 🚀