OllamaFreeAPI

Unlock AI Innovation for Free

Access the world's best open language models in one place!

OllamaFreeAPI provides free access to leading open-source LLMs including:

• 🦙 LLaMA 3 (Meta)
• 🌪️ Mistral (Mistral AI)
• 🔍 DeepSeek (DeepSeek)
• 🦄 Qwen (Alibaba Cloud)

No payments. No credit cards. Just pure AI power at your fingertips.

pip install ollamafreeapi

📚 Documentation

• API Reference - Complete API documentation
• Usage Examples - Practical code examples
• Model Catalog - Available models and their capabilities

Why Choose OllamaFreeAPI?

Feature	Others	OllamaFreeAPI
Free Access	❌ Limited trials	✅ Always free
Model Variety	3-5 models	50+ models
Global Infrastructure	Single region	5 continents
Ease of Use	Complex setup	Zero-config
Community Support	Paid only	Free & active

📊 Project Statistics

Here are some key statistics about the current state of OllamaFreeAPI:

• Active Models: 651 (Ready to use right now)
• Model Types: 6 (Different families of models)
• Quantization Methods: 8 (Ways to run faster)
• Average Size of Models: 5.3 GB

🚀 Quick Start

Streaming Example

from ollamafreeapi import OllamaFreeAPI

client = OllamaFreeAPI()

# Stream responses in real-time
for chunk in client.stream_chat('llama3.3:70b', 'Tell me a story:'):
    print(chunk, end='', flush=True)

Non-Streaming Example

from ollamafreeapi import OllamaFreeAPI

client = OllamaFreeAPI()

# Get instant responses
response = client.chat(
    model_name="llama3.3:70b",
    prompt="Explain neural networks like I'm five",
    temperature=0.7
)
print(response)

🌟 Featured Models

Popular Foundation Models

• llama3:8b-instruct - Meta's latest 8B parameter model
• mistral:7b-v0.2 - High-performance 7B model
• deepseek-r1:7b - Strong reasoning capabilities
• qwen:7b-chat - Alibaba's versatile model

Specialized Models

• llama3:code - Optimized for programming
• mistral:storyteller - Creative writing specialist
• deepseek-coder - STEM and math expert

🌍 Global Infrastructure

Our free API is powered by:

• 25+ dedicated GPU servers
• 5 global regions (NA, EU, Asia)
• Automatic load balancing
• 99.5% uptime SLA

📄 API Reference

Core Methods

# List available models
api.list_models()  

# Get model details
api.get_model_info("mistral:7b")  

# Generate text
api.chat(model_name="llama3:latest", prompt="Your message")

# Stream responses
for chunk in api.stream_chat(...):
    print(chunk, end='')

Advanced Features

# Check server locations
api.get_model_servers("deepseek-r1:7b")

# Generate raw API request
api.generate_api_request(...)

# Get performance metrics
api.get_server_status()

💎 Free Tier Limits

Resource	Free Tier	Pro Tier
Requests	100/hr	10,000/hr
Tokens	16k	128k
Speed	50 t/s	150 t/s
Models	7B only	All sizes

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

📄 License

Open-source MIT license - View License

🔗 Links

• Documentation
• Examples
• GitHub Issues