feat: add deepseek-r1-8b

README.md

@@ -2,6 +2,8 @@
 
 A Docker Compose to run a local ChatGPT-like application using [Ollama](https://github.com/ollama/ollama), [Open WebUI](https://github.com/open-webui/open-webui) & [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
 
+> *Added [DeepSeek-R1-Distill-Llama-8B](https://ollama.com/library/deepseek-r1) to try out and compare.*
+
 ## Usage
 
 Simply run:
@@ -17,6 +19,8 @@ The [ollama-models-pull](docker-compose.yml#L30-L36) service will trigger an API
 {"status":"removing any unused layers"}
 {"status":"success"}
 ```
+> It will do the same for the distilled DeepSeek model.
+
 > To verify the list of downloaded models, you can call Ollama on `http://localhost:11434/api/tags`.
 
 The models are stored in a [volume](docker-compose.yml#L7-L8) to avoid downloading them at each restart of Ollama.

docker-compose.yml

@@ -28,13 +28,20 @@ services:
       - open_webui_data:/app/backend/data
     extra_hosts:
       - host.docker.internal:host-gateway
-  ollama-models-pull:
+  ollama-pull--mistral:
     image: curlimages/curl:8.6.0
     command: >-
       http://ollama:11434/api/pull -d '{"name": "mistral"}'
     depends_on:
       ollama:
         condition: service_healthy
+  ollama-pull--deepseek-r1-8b:
+    image: curlimages/curl:8.6.0
+    command: >-
+      http://ollama:11434/api/pull -d '{"name": "deepseek-r1:8b"}'
+    depends_on:
+      ollama:
+        condition: service_healthy
 volumes:
   ollama_data:
   open_webui_data: