App Library/Ollama

Ollama

AI / LLMPopularMIT166k stars

Get up and running with large language models locally

Deploy Ollama free Official site GitHub

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About Ollama

Get up and running with large language models locally. Deploy Ollama on your own server with GoPanel.

Alternative to

OpenAI API

Azure OpenAI

Frequently asked questions

What models can I run with Ollama?: Ollama supports hundreds of open-source models including Llama 3, Mistral, Phi-3, Gemma, Code Llama, Qwen, and many more. You can pull models with a single command (ollama pull llama3) and run them locally.
How much RAM does Ollama need?: RAM requirements depend on the model size. 7B parameter models need ~8GB RAM, 13B models need ~16GB, and 70B models need ~64GB. For GPU acceleration, VRAM requirements are similar. Quantized models (Q4_0) use roughly half the RAM of full precision.
Does Ollama support GPU acceleration?: Yes, Ollama supports NVIDIA GPUs (CUDA), Apple Silicon (Metal), and AMD GPUs (ROCm). GPU acceleration dramatically improves inference speed — a 7B model runs 5-10x faster on a GPU compared to CPU-only inference.
Can I use Ollama with other applications?: Yes, Ollama exposes an OpenAI-compatible API. This means any application that works with the OpenAI API can use Ollama as a drop-in replacement. It integrates with Open WebUI, Dify, n8n, LangChain, and many other tools.

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