Run a private local chat using Ollama with Qwen3.8-27B, send a first prompt, and confirm the model responds.
Run a private local chat using Ollama with Qwen3.8-27B, send a first prompt, and confirm the model responds.
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 18.0 GB Ollama text package at a short 4K context, we estimate at least 32 GB GPU memory or 32 GB Apple unified memory. For a more comfortable starting point, use 40 GB GPU memory or 48 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.
On Windows, macOS, or Linux, download and install Ollama from the official Ollama website. Follow the installer for your platform. No terminal command is required for the initial installation; after installation, the `ollama` command becomes available in your terminal.
Open a terminal and run the following command. This downloads the 18 GB Qwen3.8-27B package from Ollama and starts an interactive chat session. Wait for the download to finish; the first run may take a while depending on your connection.
ollama run qwen3.8:27bAt the `>>>` prompt in the interactive session, type a coding question and press Enter. For example, type: Write a Python function to merge two sorted linked lists.
Read the generated reply. Qwen3.8-27B may produce thinking content first, marked by ` thinking ... `, before the final answer. You will see a Python function that merges two sorted linked lists. That response confirms the local model is running and answering.
Ask a short question with a known answer. Confirm the selected local model responds and verify the answer yourself before using it for private work.
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 internet connection and available disk space, then run the command again. The 18 GB model package must be downloaded completely before chat starts.
The 27B model requires substantial memory and compute. Close other heavy applications and ensure your GPU or CPU has enough available memory for the text-only workload.
Qwen3.8-27B operates in thinking mode by default and outputs ` thinking ... ` before the answer. This is expected behavior; read the content after the closing `` tag as the final response.
Original instructions, model files, and compatibility notes behind this setup.
Save your machine to see a personalized rating and its reasoning.
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Connect an open coding-capable model in Ollama to Cline, run a small repository task, and review the result locally.
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