TradingAgents/PULL_OLLAMA_MODELS.md

Quick Guide: Pull Ollama Models for TradingAgents

⚠️ IMPORTANT: Pull Models Before Running

When you see a 404 error like:

ResponseError: 404 page not found (status code: 404)

It means the model isn't downloaded yet. You must pull it first!

📥 How to Pull Models

Open a terminal and run:

# RECOMMENDED - Start with this
ollama pull llama3.2

# OR choose from these tool-compatible models:
ollama pull llama3.2:1b       # Fastest (1B)
ollama pull llama3.1          # Better quality (8B)
ollama pull mistral-nemo      # Mistral (12B)
ollama pull qwen2.5:7b        # Qwen (7B)
ollama pull qwen2.5-coder:7b  # Coding-focused (7B)

✅ Verify Models Are Installed

ollama list

You should see your models listed:

NAME            ID              SIZE    MODIFIED
llama3.2:latest abc123...       2.0 GB  2 minutes ago
mistral-nemo    def456...       7.1 GB  1 hour ago

🎯 Recommended Setup for TradingAgents

For Quick Testing (Fastest)

ollama pull llama3.2:1b

• Size: ~1GB
• Speed: Very fast
• Quality: Good enough for testing

For Production Use (Balanced)

ollama pull llama3.2

• Size: ~2GB
• Speed: Fast
• Quality: Good

For Best Quality (Slower)

ollama pull llama3.1

• Size: ~5GB
• Speed: Medium
• Quality: Excellent

For Mistral Fans

ollama pull mistral-nemo

• Size: ~7GB
• Speed: Medium
• Quality: Excellent

For Qwen Models

# Standard Qwen
ollama pull qwen2.5:7b

# OR Coding-focused variant
ollama pull qwen2.5-coder:7b

• Size: ~4-5GB each
• Speed: Fast
• Quality: Very good

🚀 Complete Workflow

1. Pull a Model

ollama pull llama3.2

2. Verify It's Downloaded

ollama list

3. Run TradingAgents

python -m cli.main

4. Select Settings

• Provider: Ollama
• Quick-Thinking: llama3.2 (or your choice)
• Deep-Thinking: llama3.2 (or your choice)

📊 Model Comparison

Model	Size	Download Time*	RAM Usage	Speed	Quality	Tools Support
llama3.2:1b	1GB	~1 min	2GB	⭐⭐⭐⭐⭐	⭐⭐⭐	✅
llama3.2	2GB	~2 min	4GB	⭐⭐⭐⭐	⭐⭐⭐⭐	✅
llama3.1	5GB	~5 min	8GB	⭐⭐⭐	⭐⭐⭐⭐⭐	✅
mistral-nemo	7GB	~7 min	12GB	⭐⭐⭐	⭐⭐⭐⭐⭐	✅
qwen2.5:7b	4.7GB	~5 min	7GB	⭐⭐⭐⭐	⭐⭐⭐⭐	✅
qwen2.5-coder	4.7GB	~5 min	7GB	⭐⭐⭐⭐	⭐⭐⭐⭐	✅

*Approximate download time on typical broadband connection

⚡ Pro Tips

1. Pull Multiple Models

You can have multiple models installed and switch between them:

ollama pull llama3.2     # Fast for testing
ollama pull llama3.1     # High quality for production

2. Check Model Info

ollama show llama3.2

3. Remove Unwanted Models

ollama rm llama3  # Remove old llama3 (doesn't support tools)

4. Keep Models Updated

ollama pull llama3.2  # Updates to latest version

🐛 Troubleshooting

Error: "404 page not found"

Solution: Model not downloaded. Pull it first:

ollama pull llama3.2

Error: "model 'qwen2.5' not found"

Solution: Use full tag:

ollama pull qwen2.5:7b  # Not just "qwen2.5"

Slow Performance

Solution: Use smaller model:

ollama pull llama3.2:1b

Out of Memory

Solution: Use smaller model or close other applications:

ollama pull llama3.2:1b  # Only needs ~2GB RAM

Model Takes Forever to Download

Solution: Start with smallest model:

ollama pull llama3.2:1b  # Only 1GB download

🎓 Learning Path

Beginner

1. Start with: ollama pull llama3.2:1b
2. Test with simple analysis
3. Upgrade if needed

Intermediate

1. Use: ollama pull llama3.2
2. Good balance of speed and quality
3. Most popular choice

Advanced

1. Try: ollama pull llama3.1 or mistral-nemo
2. Best quality for complex analysis
3. Requires more resources

📝 Summary

TL;DR - Quick Start:

# 1. Pull the recommended model
ollama pull llama3.2

# 2. Verify it's there
ollama list

# 3. Run the app
python -m cli.main

That's it! 🚀

---

Need Help?

Check if Ollama is running:

ollama list

If you see an error, start Ollama:

ollama serve

Then pull your model and try again!