Install Ollama

curl -fsSL https://ollama.com/install.sh | sh

I prefer to make the model files available for all computers in our working group. Thus I put them on a NAS under /data_1/deepseek.

In that case you want to change /etc/systemd/system/ollama.service and add your directory to it:

Environment= [PATH BLA BLA] "OLLAMA_MODELS=/data_1/deepseek/models" "HOME=/data_1/deepseek"

After that restart systemd with:

systemctl restart ollama.service

Check the status of the service:

systemctl status ollama.service

Getting the models

Now we can get the models:

ollama pull deepseek-r1:1.5b
ollama pull deepseek-r1:7b
ollama pull deepseek-r1:8b
ollama pull deepseek-r1:32b
ollama pull deepseek-r1:14b
ollama pull deepseek-r1:70b

However, you want to check first which model you want based on the CPU RAM or the GPU VRAM you have:

ollama list | grep deepseek

deepseek-r1:1.5b                 a42b25d8c10a    1.1 GB    
deepseek-r1:671b                 739e1b229ad7    404 GB    
deepseek-r1:32b                  38056bbcbb2d    19 GB     
deepseek-r1:14b                  ea35dfe18182    9.0 GB    
deepseek-r1:7b                   0a8c26691023    4.7 GB    
deepseek-r1:70b                  0c1615a8ca32    42 GB     
deepseek-r1:8b                   28f8fd6cdc67    4.9 GB    

Test

ollama run deepseek-r1:1.5b

>>> Hello
<think>

</think>

Hello! How can I assist you today? 😊

>>> /bye

Using it with VS Code

For using Ollama we need a special setting for VS Code. Thus we need to produce instances with different model parameter (or in other words: got to the Modelfile subfolder and check the information their)

code_ds32b:latest                995e2d04e071    19 GB    
code_ds70b:latest                4930f987452d    42 GB    
code_ds7b:latest                 0438bd669fa8    4.7 GB   
code_ds8b:latest                 643346a4074c    4.9 GB   
code_ds1.5b:latest               2d66604e7b60    1.1 GB   
code_ds14b:latest                76c930e3d70a    9.0 GB   

Do not you larger models on your CPU or you will die of old age!

Install roo code

Please make sure that your shell doesn't use something like Starship or the posh packages! Otherwise VS Code can not run terminal command!

Setting of roo code

You need to select Ollama. Then you need to connect to Ollama. If Ollama is local on your machine, you don't so anything here. For home office I use

ssh -p [PORT OLLAMA SERVER] -L 11434:127.0.0.1:11434 [USERNAME]@[IP OLLAMA SERVER]

to connect directly to the computer with Ollama and tunnel the 11434 to my local machine. (Or in other words: I make the external Ollama available as local service on port 11434).

Select a code model, which you created by using the modelfiles.

Trust issues

Now you need to decide how much trust you have and allow Roo Code to do stuff without asking you all the time.

And don't ask me what MCPs servers are. I don't know... yet.