diff --git a/.github/workflows/test_ollama.yml b/.github/workflows/test_ollama.yml
index cd1bf0aaf..7696de474 100644
--- a/.github/workflows/test_ollama.yml
+++ b/.github/workflows/test_ollama.yml
@@ -7,8 +7,8 @@ jobs:
 
   run_ollama_test:
 
-    
-    runs-on: buildjet-4vcpu-ubuntu-2204
+    # needs 32 Gb RAM for phi4 in a container
+    runs-on: buildjet-8vcpu-ubuntu-2204
 
     steps:
       - name: Checkout repository
@@ -47,15 +47,15 @@ jobs:
 
       - name: Pull required Ollama models
         run: |
-          curl -X POST http://localhost:11434/api/pull -d '{"name": "phi3:mini"}'
-          curl -X POST http://localhost:11434/api/pull -d '{"name": "nomic-embed-text"}'
+          curl -X POST http://localhost:11434/api/pull -d '{"name": "phi4"}'
+          curl -X POST http://localhost:11434/api/pull -d '{"name": "avr/sfr-embedding-mistral:latest"}'
 
       - name: Call ollama API
         run: |
           curl -X POST http://localhost:11434/v1/chat/completions \
             -H "Content-Type: application/json" \
             -d '{
-              "model": "phi3:mini",
+              "model": "phi4",
               "stream": false,
               "messages": [
                 { "role": "system", "content": "You are a helpful assistant." },
@@ -65,7 +65,7 @@ jobs:
           curl -X POST http://127.0.0.1:11434/api/embed \
             -H "Content-Type: application/json" \
              -d '{
-              "model": "nomic-embed-text",
+              "model": "avr/sfr-embedding-mistral:latest",
             "input": "This is a test sentence to generate an embedding."
             }'
 
@@ -82,10 +82,10 @@ jobs:
           LLM_PROVIDER: "ollama"
           LLM_API_KEY: "ollama"
           LLM_ENDPOINT: "http://localhost:11434/v1/"
-          LLM_MODEL: "phi3:mini"
+          LLM_MODEL: "phi4"
           EMBEDDING_PROVIDER: "ollama"
-          EMBEDDING_MODEL: "nomic-embed-text"
+          EMBEDDING_MODEL: "avr/sfr-embedding-mistral:latest"
           EMBEDDING_ENDPOINT: "http://localhost:11434/api/embed"
-          EMBEDDING_DIMENSIONS: "768"
-          HUGGINGFACE_TOKENIZER: "nomic-ai/nomic-embed-text-v1"
+          EMBEDDING_DIMENSIONS: "4096"
+          HUGGINGFACE_TOKENIZER: "Salesforce/SFR-Embedding-Mistral"
         run: uv run python ./examples/python/simple_example.py