yta-docker-ollama 0.0.4

Youtube Autonomous Docker Ollama Module

Youtube Autonomous Docker Ollama Module

A module based on docker to use Ollama and make AI models available through local endpoints.

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Proyect created based on this post: https://dev.to/savvasstephnds/run-deepseek-locally-using-docker-2pdm. I've modified it a bit by installing a different model, as I used the deepseek-r1:latest instead of the deepseek-r1:7b (you can check the list here: https://www.ollama.com/library/deepseek-r1).

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Instructions

1. Install the docker container that includes ollama. This command will create a local ollama-models folder in which the models will be downloaded (~2.6GB).

docker compose up -d ollama

2. Check that the container has been succesfully installed and is running locally by accessing to the following url. A Ollama is running message should appear in the web navigator:

http://localhost:11434/

3. Install Deepseek to be used in the Ollama container we've installed before, that will be downloaded (~5.2GB):

docker compose exec ollama ollama pull deepseek-r1:latest

4. Request to the http://localhost:11434/api/generate endpoint (using a POST method and providing the model and the parameters needed to obtain a response).

payload = {
    'model': model.value,
    'prompt': prompt,
    'stream': False
}

response = requests.post(
    url = OLLAMA_GENERATE_URL,
    json = payload
)

Other models

*To install any other model, look for it in the list mentioned on top of this readme file and install it with the same command as before. If you want to install the llama3.2-vision:latest, just execute this command below:

docker compose exec ollama ollama pull llama3.2-vision:latest

Final command

Execute this commands once you've cloned the project to set up the docker container and the models:

docker compose up -d ollama
docker compose exec ollama ollama pull deepseek-r1:latest
docker compose exec ollama ollama pull gemma3:latest