Install Ollama
Install Ollama for your operating system from its official download page, then open a terminal.
Run DeepSeek R1 14B privately with Ollama. Start the documented package, try a known reasoning problem, and check the answer before using it for harder work.
Run DeepSeek R1 14B privately with Ollama. Start the documented package, try a known reasoning problem, and check the answer before using it for harder work.
This setup uses the package documented for this task. Review its source and supported platforms before starting.
Save your machine in My Hardware to get an automatic starting choice. You can always choose any package yourself.
For the publisher's 9.0 GB Ollama text package at a short 4K context, we estimate at least 16 GB GPU memory or 24 GB Apple unified memory. For a more comfortable starting point, use 24 GB GPU memory or 32 GB unified memory. These are capacity estimates, not speed tests; longer context and other apps need additional headroom.
Pick your operating system. Every command below is for the selected package and runtime.
Install Ollama for this operating system before running the model command.
Install Ollama for your operating system from its official download page, then open a terminal.
In a terminal, run the exact Ollama command for the 14B distilled model. This pulls the deepseek-r1:14b package if needed and starts an interactive session. Keep the terminal open.
ollama run deepseek-r1:14bThe Ollama package is about 9 GB, and longer context needs more memory. Start with a short context. For math tasks, DeepSeek recommends asking for a step-by-step answer and putting the final result in \boxed{}.
At the Ollama prompt, type: “What is 27 × 43? Please reason step by step and put the final answer in \boxed{}.”
Read the model’s answer in your terminal. The correct result is 1,161. Check the arithmetic yourself before relying on a longer response.
Try a short multi-step problem with a known result. Verify the final answer and key steps independently before increasing context.
This is a source-linked setup, not a YouRunAI hardware test. Confirm your exact runtime version, package, and output before relying on it.
Check your Ollama installation, network connection, and free disk space. The package is about 9 GB; run the exact model command again after fixing the issue.
Close memory-heavy applications and begin with a short context. Use a machine with more memory or a suitable rented GPU if it still does not respond comfortably.
Use a problem with a known result, check the intermediate arithmetic, and treat the model’s reasoning as a draft rather than proof.
Original instructions, model files, and compatibility notes behind this setup.
Save your machine to see a personalized rating and its reasoning.
Add my hardwareInstall a local runtime, run Qwen3.5 9B, confirm responses, and know when to choose the smaller 4B package.
Connect an open coding-capable model in Ollama to Cline, run a small repository task, and review the result locally.
Use the official FLUX.2 Klein 4B ComfyUI template with exact model files, a first prompt, and an output check.