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Guides, tutorials, troubleshooting and tips for running Ollama local AI models.

DeepSeek R1 vs Llama 3.1 on Ollama

DeepSeek R1 and Llama 3.1 are two of the best open-source models you can run locally with Ollama — but they’re built for different things. Llama 3.1 is a strong all-round model; DeepSeek R1 is a...

How to Run DeepSeek R1 on Ollama

DeepSeek R1 is one of the most significant open-source AI models released in 2025. It’s a reasoning model — like OpenAI’s o1 — that thinks through problems step by step before answering, m...

How to Use Ollama with Python

Ollama’s local REST API makes it straightforward to call local LLMs from Python — either directly with the requests library, via the official Ollama Python package, or through the OpenAI SDK. Th...

Best Ollama Models for RAG

Building a RAG (Retrieval Augmented Generation) pipeline with Ollama? Choosing the right model is critical — both for generating embeddings and for answering questions based on retrieved context. Here...

Best Ollama Models for Vision

Want to analyse images, read documents, or describe screenshots locally? Multimodal vision models in Ollama let you do all of this without sending images to the cloud. Here are the best Ollama vision ...

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