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README.md

@@ -4,7 +4,7 @@ This project builds a student-friendly local lab environment for the courseware
 
 - `./deploy-courseware.sh` installs and configures the environment, then starts every managed service.
 - `./destroy-courseware.sh` stops the managed services, uninstalls courseware-managed Ollama, and removes the project-owned lab state.
-- `./labctl` provides day-two controls such as `assets lab2`, `start`, `stop`, `status`, `urls`, `logs`, and `open kiln`.
+- `./labctl` provides day-two controls such as `assets lab2`, `ollama_models`, `start`, `stop`, `status`, `urls`, `logs`, and `open kiln`.
 
 ## What It Installs
 
@@ -28,6 +28,16 @@ Lab 1 is now provisioned directly by the installer:
 - The wiki serves same-host download links for both GGUFs through `/api/lab1/models/...`.
 - Lab 1 confidence visualization requires Ollama `0.12.11` or newer because it depends on logprobs.
 
+## Lab 2 Defaults
+
+`./labctl up` now pre-pulls the Lab 2 Gemma 4 E2B Ollama variants used by the wiki widget:
+
+- `cajina/gemma4_e2b-q2_k_xl:v01`
+- `batiai/gemma4-e2b:q4`
+- `bjoernb/gemma4-e2b-fast:latest`
+
+If you want to re-pull just those managed Ollama models later, run `./labctl ollama_models`.
+
 ## Supported Host Profiles
 
 This build intentionally avoids the reference VM's hardware workarounds.
@@ -126,6 +136,7 @@ The deployment will:
 - `./labctl up` installs the environment and then starts every managed service.
 - `./labctl versions` shows the pinned Netron version, minimum Ollama version, and Ansible runtime version used by this workspace.
 - `./labctl assets lab2` is a separate manual step that clones the base WhiteRabbitNeo repo into `assets/lab2/WhiteRabbitNeo-V3-7B` and downloads the supported `Q4_K_M`, `Q8_0`, and `IQ2_M` GGUFs into `assets/lab2/WhiteRabbitNeo_WhiteRabbitNeo-V3-7B-GGUF`.
+- `./labctl ollama_models` re-pulls the managed Lab 2 Gemma 4 E2B Ollama model set without rerunning the full installer.
 - `./labctl start core` starts only `ollama` and `open-webui`.
 - `./labctl start all` starts every managed web service.
 - `./labctl open kiln` launches the Kiln desktop app installed into the project state.

ansible/group_vars/all.yml

@@ -73,12 +73,15 @@ courseware_white_rabbit_variants:
   - ollama_model: "WhiteRabbitNeo-IQ2"
     quant: "IQ2_M"
     filename: "WhiteRabbitNeo_WhiteRabbitNeo-V3-7B-IQ2_M.gguf"
-courseware_ollama_models:
+courseware_lab2_ollama_models:
-  - "llama3.2"
+  - label: "Gemma 4 E2B Q2"
-  - "qwen3.5:4b"
+    value: "cajina/gemma4_e2b-q2_k_xl:v01"
-  - "gemma3n:e2b"
+  - label: "Gemma 4 E2B Q4"
-courseware_optional_ollama_models:
+    value: "batiai/gemma4-e2b:q4"
-  - "gemma3:12b-it-qat"
+  - label: "Gemma 4 E2B Q8"
+    value: "bjoernb/gemma4-e2b-fast:latest"
+courseware_ollama_models: "{{ courseware_lab2_ollama_models | map(attribute='value') | list }}"
+courseware_optional_ollama_models: []
 courseware_install_optional_heavy_models: false
 
 courseware_wsl_cuda_pin_url: "https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin"

ansible/playbooks/up.yml

@@ -15,6 +15,7 @@
     - open_webui
     - chunkviz
     - promptfoo
+    - { role: ollama_models, tags: ["ollama_models"] }
     - wiki
     - kiln
     - unsloth

ansible/roles/wiki/templates/courseware-runtime.json.j2

@@ -1,4 +1,13 @@
 {
   "lab1NetronUrl": "http://{{ courseware_url_host }}:{{ courseware_ports.netron }}",
+  "lab2OllamaUrl": "http://{{ courseware_url_host }}:{{ courseware_ports.ollama }}",
+  "lab2OllamaModels": [
+{% for model in courseware_lab2_ollama_models %}
+    {
+      "label": "{{ model.label }}",
+      "value": "{{ model.value }}"
+    }{% if not loop.last %},{% endif %}
+{% endfor %}
+  ],
   "lab3TerminalUrl": "http://{{ courseware_url_host }}:{{ courseware_ports.wetty }}{{ courseware_wetty_base_path }}"
 }

labctl

@@ -18,6 +18,7 @@ usage() {
 Usage:
   ./labctl up
   ./labctl down
+  ./labctl ollama_models
   ./labctl preflight
   ./labctl versions
   ./labctl assets lab2 [--refresh]
@@ -82,6 +83,7 @@ WARNING: THIS SCRIPT WILL CONFIGURE YOUR ENVIRONMENT WILL THE FOLLOWING SOFTWARE
 - Unsloth Studio
 - Kiln Desktop
 - Course-specific support assets for lab 1, lab 2, and lab 4
+- Pre-pulled Lab 2 Ollama models for Q2, Q4, and Q8 Gemma 4 E2B
 - A pre-registered Lab 1 Ollama model (requires Ollama ${min_ollama}+)
 
 IT IS RECOMMENDED TO RUN THIS IN AN ISLOATED ENVIRONMENT (Dedicated WSL, VM, etc.)
@@ -106,6 +108,7 @@ WARNING: THIS SCRIPT WILL CONFIGURE YOUR ENVIRONMENT WILL THE FOLLOWING SOFTWARE
 - Unsloth Studio
 - Kiln Desktop
 - Course-specific support assets for lab 1, lab 2, and lab 4
+- Pre-pulled Lab 2 Ollama models for Q2, Q4, and Q8 Gemma 4 E2B
 - A pre-registered Lab 1 Ollama model (requires Ollama ${min_ollama}+)
 
 IT IS RECOMMENDED TO RUN THIS IN AN ISLOATED ENVIRONMENT (Dedicated WSL, VM, etc.)
@@ -536,6 +539,17 @@ handle_assets_command() {
   esac
 }
 
+refresh_ollama_models() {
+  if [ ! -f "$ROOT_DIR/state/runtime.env" ]; then
+    cat <<'EOF' >&2
+Missing state/runtime.env. Run ./labctl up first so the managed Ollama service is configured before pulling models.
+EOF
+    exit 1
+  fi
+
+  run_playbook up.yml --tags ollama_models
+}
+
 main() {
   local cmd=${1:-}
   shift || true
@@ -546,6 +560,9 @@ main() {
       run_playbook up.yml
       run_project_script "$ROOT_DIR/scripts/service_manager.sh" start all
       ;;
+    ollama_models)
+      refresh_ollama_models
+      ;;
     down)
       run_project_script "$ROOT_DIR/scripts/service_manager.sh" stop all || true
       run_playbook down.yml