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TL;DR - Ollama
- Run Llama 3, Mistral, and more locally
- One command to download and run models
- OpenAI-compatible API for easy integration
Pricing: Free forever
Best for: Individuals & startups
Score: 86/100
Pros & Cons
Pros
- Incredibly easy to use
- Massive model library
- Very active development
- Great community and docs
- OpenAI API compatibility
Cons
- Requires decent hardware
- No built-in UI (CLI only)
- Limited fine-tuning options
- Model quality varies
Key Features
One-command model downloadsOpenAI-compatible APILarge model library (100+)CPU and GPU supportApple Silicon optimizedModel customization (Modelfile)Cross-platform (Mac/Windows/Linux)REST API for integrations
Pricing Plans
Free
Free
Open source
- Unlimited usage
- All models available
- Local inference
- OpenAI-compatible API
- CPU and GPU support
- Cross-platform
About Ollama
By Toolradar Team·
Ollama makes running large language models on your local machine as easy as running a Docker container. With a single command, you can download and run models like Llama 3, Mistral, Gemma, CodeLlama, and dozens more. Ollama handles model management, quantization, and provides an OpenAI-compatible API, making it trivial to swap cloud AI for local inference. The project has exploded in popularity among developers who want privacy, cost savings, or offline capabilities. Ollama supports both CPU and GPU inference (including Apple Silicon), and the growing model library includes everything from tiny 270M parameter models to massive 70B+ models.
How we evaluate tools →Source: ollama.ai
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Ollama FAQ
What hardware do I need for Ollama?
Requirements vary by model. Small models (7B parameters) run on 8GB RAM. Medium models (13B) need 16GB. Large models (70B) need 32GB+ RAM. GPU acceleration significantly improves speed - Ollama supports NVIDIA CUDA and Apple Silicon.
Is Ollama free?
Yes, Ollama is completely free and open source (MIT license). You download models directly and run them locally. There are no API fees or subscriptions - you only pay for your own hardware and electricity.
How does Ollama compare to using OpenAI API?
Ollama runs models locally, so it's free (no per-token costs), private (data never leaves your machine), and works offline. The trade-off is you need capable hardware, and local models may be less capable than GPT-4. For many tasks, local models are sufficient.
Can I use Ollama with my existing OpenAI code?
Yes! Ollama provides an OpenAI-compatible API endpoint. You can often just change the base URL in your code from OpenAI to http://localhost:11434 and it works. Libraries like LangChain and LlamaIndex support Ollama directly.
Source: ollama.ai