Focus local lab deployment on Linux and WSL

README.md

@@ -23,15 +23,16 @@ This project builds a student-friendly local lab environment for the courseware
 
 Lab 1 is now provisioned directly by the installer:
 
-- The `Qwen3-0.6B-Q8_0.gguf` and `Llama-3.2-1B.Q4_K_M.gguf` files are mirrored into `state/models/lab1/`.
-- The Qwen GGUF is pre-registered in Ollama as `lab1-qwen3-0.6b-q8_0`.
-- The wiki serves same-host download links for both GGUFs through `/api/lab1/models/...`.
+- The `Llama-3.2-1B.Q4_K_M.gguf` file is mirrored into `state/models/lab1/`.
+- The Lab 1 confidence widget uses the pre-pulled Gemma 4 E2B Q4 Ollama model, `batiai/gemma4-e2b:q4`.
+- The wiki serves a same-host download link for the Llama GGUF 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:
+`./labctl up` now pre-pulls the Gemma 4 E2B Ollama variants used by the wiki widgets:
 
+- `cajina/gemma4_e2b-q2_k_xl:v01`
 - `batiai/gemma4-e2b:q4`
 - `batiai/gemma4-e2b:q6`
 
@@ -39,15 +40,13 @@ If you want to re-pull just those managed Ollama models later, run `./labctl oll
 
 ## Supported Host Profiles
 
-This build intentionally avoids the reference VM's hardware workarounds.
+This build is the Linux/WSL variant of LLM Labs Local. If you are deploying on Apple Silicon macOS, use the sibling `LLM-Labs-Local-Mac` project instead.
 
-- macOS: Apple Silicon only, with at least 16 GB unified memory.
 - Native Debian/Ubuntu: Debian-family Linux with an NVIDIA GPU visible to `nvidia-smi` and at least 8 GB VRAM.
 - WSL: Debian/Ubuntu-family Linux running under WSL, with the NVIDIA GPU exposed into the distro.
 
 The launcher and Ansible preflight classify the host dynamically and apply different setup behavior for:
 
-- `macos`
 - `native-debian-ubuntu`
 - `wsl`
 
@@ -97,7 +96,7 @@ If CUDA is already mounted or preinstalled outside `PATH`, the installer detects
 
 - The default deployment is centered on Ollama-backed local inference and browser-based tools such as Netron and the wiki.
 - Netron is installed into a managed Python virtual environment and served locally instead of being provisioned as a desktop package.
-- Lab 1 model downloads are mirrored locally during `./labctl up`, so students do not have to fetch them manually from the original source.
+- Lab 1's Llama GGUF download is mirrored locally during `./labctl up`, so students do not have to fetch it manually from the original source.
 - WhiteRabbitNeo assets remain a separate Lab 2 flow and are still handled outside the default `./labctl up` run.
 - Run `./labctl assets lab2` when you want to populate repo-local Lab 2 assets in `assets/lab2/` from Hugging Face.
 - After base setup, run `state/lab2/download_whiterabbitneo-gguf.sh` to fetch only the `Q4_K_M`, `Q8_0`, and `IQ2_M` files from `bartowski/WhiteRabbitNeo_WhiteRabbitNeo-V3-7B-GGUF` and register local Ollama models `WhiteRabbitNeo`, `WhiteRabbitNeo-Q4`, `WhiteRabbitNeo-Q8`, and `WhiteRabbitNeo-IQ2`.
@@ -145,4 +144,4 @@ The deployment will:
 - Lab 2 includes `state/lab2/download_whiterabbitneo-gguf.sh`, which uses `git` + `git lfs` to pull only the supported WhiteRabbitNeo quants. Add `--download-only` if you want the files without Ollama registration.
 - The wiki is cloned from `https://git.zuccaro.me/bzuccaro/LLM-Labs.git` into `state/repos/LLM-Labs` and started with `npm`.
 - `./labctl down` uninstalls Ollama entirely when this project installed it, instead of only stopping the service.
-- Unsloth Studio currently supports chat and data workflows on macOS; Linux/WSL remains the standard path for NVIDIA-backed training.
+- This variant is intended for NVIDIA-backed Linux/WSL training and lab workflows.

ansible/group_vars/all.yml

@@ -50,10 +50,7 @@ courseware_wiki_repo: "https://git.zuccaro.me/bzuccaro/LLM-Labs.git"
 
 courseware_open_webui_spec: "open-webui"
 courseware_embedding_atlas_spec: "embedding-atlas"
-courseware_lab1_qwen_filename: "Qwen3-0.6B-Q8_0.gguf"
-courseware_lab1_qwen_download_url: "https://huggingface.co/Qwen/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q8_0.gguf?download=true"
-courseware_lab1_qwen_local_path: "{{ courseware_lab1_models_dir }}/{{ courseware_lab1_qwen_filename }}"
-courseware_lab1_qwen_model_alias: "lab1-qwen3-0.6b-q8_0"
+courseware_lab1_ollama_model_alias: "batiai/gemma4-e2b:q4"
 courseware_lab1_llama_filename: "Llama-3.2-1B.Q4_K_M.gguf"
 courseware_lab1_llama_download_url: "https://huggingface.co/DevQuasar-3/meta-llama.Llama-3.2-1B-GGUF/resolve/main/Llama-3.2-1B.Q4_K_M.gguf?download=true"
 courseware_lab1_llama_local_path: "{{ courseware_lab1_models_dir }}/{{ courseware_lab1_llama_filename }}"
@@ -74,6 +71,8 @@ courseware_white_rabbit_variants:
     quant: "IQ2_M"
     filename: "WhiteRabbitNeo_WhiteRabbitNeo-V3-7B-IQ2_M.gguf"
 courseware_lab2_ollama_models:
+  - label: "Gemma 4 E2B Q2 XL"
+    value: "cajina/gemma4_e2b-q2_k_xl:v01"
   - label: "Gemma 4 E2B Q4"
     value: "batiai/gemma4-e2b:q4"
   - label: "Gemma 4 E2B Q6"

ansible/playbooks/down.yml

@@ -140,22 +140,6 @@
         - courseware_down_ollama_marker.stat.exists
       failed_when: false
 
-    - name: Stop courseware-managed Ollama macOS app if running
-      command: pkill -x Ollama
-      when:
-        - ansible_system == "Darwin"
-        - courseware_down_ollama_marker.stat.exists
-      changed_when: false
-      failed_when: false
-
-    - name: Uninstall courseware-managed Ollama Homebrew formula
-      command: brew uninstall ollama
-      when:
-        - ansible_system == "Darwin"
-        - courseware_down_ollama_marker.stat.exists
-      changed_when: false
-      failed_when: false
-
     - name: Remove managed Unsloth path
       file:
         path: "{{ ansible_env.HOME }}/.unsloth"

ansible/roles/common/defaults/main.yml

@@ -12,10 +12,3 @@ common_packages_debian:
   - ninja-build
   - libssl-dev
   - pkg-config
-
-common_packages_macos:
-  - python3
-  - git
-  - curl
-  - cmake
-  - ninja

ansible/roles/common/tasks/main.yml

@@ -20,17 +20,6 @@
   when: ansible_os_family == "Debian"
   become: yes
 
-- name: Ensure Homebrew is installed (macOS)
-  ansible.builtin.homebrew:
-    name:
-      - python3
-      - git
-      - curl
-      - cmake
-      - ninja
-    state: present
-  when: ansible_os_family == "Darwin"
-
 - name: Install Python virtual environment module (user space)
   ansible.builtin.pip:
     name: virtualenv

ansible/roles/kiln/tasks/macos.yml

@@ -1,19 +0,0 @@
-- name: Download Kiln macOS disk image
-  get_url:
-    url: "https://github.com/Kiln-AI/Kiln/releases/download/{{ courseware_kiln_release_tag }}/Kiln.MacOS.AppleSilicon.M-Processor.dmg"
-    dest: "{{ courseware_downloads_dir }}/Kiln.MacOS.AppleSilicon.M-Processor.dmg"
-    mode: "0644"
-
-- name: Install Kiln.app into project state
-  shell: |
-    set -euo pipefail
-    mount_point=$(mktemp -d /tmp/kiln.XXXXXX)
-    hdiutil attach "{{ courseware_downloads_dir }}/Kiln.MacOS.AppleSilicon.M-Processor.dmg" -mountpoint "$mount_point" -nobrowse -quiet
-    app_path=$(find "$mount_point" -maxdepth 1 -name '*.app' | head -n 1)
-    rm -rf "{{ courseware_apps_dir }}/Kiln.app"
-    cp -R "$app_path" "{{ courseware_apps_dir }}/Kiln.app"
-    hdiutil detach "$mount_point" -quiet
-    rmdir "$mount_point"
-  args:
-    executable: /bin/bash
-    creates: "{{ courseware_apps_dir }}/Kiln.app"

ansible/roles/kiln/tasks/main.yml

@@ -1,8 +1,3 @@
 - name: Install Kiln on Linux
   include_tasks: linux.yml
   when: ansible_system == "Linux"
-
-- name: Install Kiln on macOS
-  include_tasks: macos.yml
-  when: ansible_system == "Darwin"
-

ansible/roles/lab1_assets/tasks/main.yml

@@ -31,41 +31,8 @@
     - courseware_lab1_ollama_semver | length == 0
       or not (courseware_lab1_ollama_semver is version(courseware_ollama_min_version, '>='))
 
-- name: Download mirrored Lab 1 Qwen model
-  get_url:
-    url: "{{ courseware_lab1_qwen_download_url }}"
-    dest: "{{ courseware_lab1_qwen_local_path }}"
-    mode: "0644"
-
 - name: Download mirrored Lab 1 Llama model
   get_url:
     url: "{{ courseware_lab1_llama_download_url }}"
     dest: "{{ courseware_lab1_llama_local_path }}"
     mode: "0644"
-
-- name: Write Lab 1 Ollama Modelfile
-  copy:
-    dest: "{{ courseware_lab1_dir }}/Modelfile.{{ courseware_lab1_qwen_model_alias }}"
-    mode: "0644"
-    content: |
-      FROM {{ courseware_lab1_qwen_local_path }}
-
-- name: Start Ollama before Lab 1 model registration
-  command:
-    argv:
-      - "{{ courseware_root }}/scripts/service_manager.sh"
-      - start
-      - ollama
-  changed_when: false
-
-- name: Register Lab 1 Qwen model with Ollama
-  command:
-    argv:
-      - "{{ courseware_ollama_bin }}"
-      - create
-      - "{{ courseware_lab1_qwen_model_alias }}"
-      - -f
-      - "{{ courseware_lab1_dir }}/Modelfile.{{ courseware_lab1_qwen_model_alias }}"
-  environment:
-    OLLAMA_HOST: "{{ courseware_bind_host }}:{{ courseware_ports.ollama }}"
-    OLLAMA_MODELS: "{{ courseware_ollama_models_dir }}"

ansible/roles/llama-cpp/tasks/main.yml

@@ -23,18 +23,6 @@
     gpu_type: "{{ 'nvidia' if nvidia_smi_output.rc == 0 else 'none' }}"
   when: is_wsl | default(false) or ansible_os_family == "Debian"
 
-- name: Check for Metal GPU on macOS
-  ansible.builtin.command: system_profiler SPDisplaysDataType
-  register: metal_check
-  changed_when: false
-  failed_when: false
-  when: ansible_os_family == "Darwin"
-
-- name: Set GPU type for macOS
-  ansible.builtin.set_fact:
-    gpu_type: "metal"
-  when: ansible_os_family == "Darwin" and metal_check.rc == 0
-
 - name: Display detected GPU type
   ansible.builtin.debug:
     msg: "llama.cpp GPU type: {{ gpu_type | default('none') }}"
@@ -58,7 +46,6 @@
       {{
         not llama_cpp_stat.stat.exists or
         (gpu_type == 'nvidia' and existing_gpu_check.stdout != 'cuda') or
-        (gpu_type == 'metal' and existing_gpu_check.stdout != 'metal') or
         (gpu_type == 'amd' and existing_gpu_check.stdout != 'amd')
       }}
 
@@ -120,19 +107,6 @@
   when: gpu_type == 'amd' and cmake_configured.rc != 0
   become: no
 
-- name: Configure llama.cpp for Metal (macOS)
-  ansible.builtin.command:
-    argv:
-      - cmake
-      - ..
-      - -G Ninja
-      - -DCMAKE_BUILD_TYPE=Release
-      - -DGGML_METAL=on
-  args:
-    chdir: "{{ llmlab_base }}/lab2/llama.cpp/build"
-  when: gpu_type == 'metal' and cmake_configured.rc != 0
-  become: no
-
 - name: Configure llama.cpp for CPU only
   ansible.builtin.command:
     argv:

ansible/roles/llama_cpp/tasks/main.yml

@@ -78,7 +78,7 @@
 
 - name: Set llama.cpp backend flag
   set_fact:
-    courseware_llama_backend_flag: "{{ '-DGGML_METAL=ON' if ansible_system == 'Darwin' else '-DGGML_CUDA=ON' }}"
+    courseware_llama_backend_flag: "-DGGML_CUDA=ON"
 
 - name: Set llama.cpp build parallelism
   set_fact:

ansible/roles/ollama/tasks/main.yml

@@ -16,14 +16,6 @@
   become: yes
   notify: Start Ollama service
 
-- name: Install Ollama (macOS via Homebrew)
-  ansible.builtin.homebrew:
-    name: ollama
-    state: present
-  when:
-    - ansible_os_family == "Darwin"
-    - ollama_version_check.rc != 0
-
 - name: Check if Ollama service exists
   ansible.builtin.command: systemctl list-unit-files ollama.service
   register: ollama_service_check

ansible/roles/packages/tasks/macos.yml

@@ -1,29 +0,0 @@
-- name: Check installed Homebrew formulas
-  command: "brew list --versions {{ item }}"
-  loop:
-    - git
-    - git-lfs
-    - cmake
-    - node
-    - python@3.11
-    - ollama
-  register: courseware_brew_checks
-  changed_when: false
-  failed_when: false
-
-- name: Install missing Homebrew formulas
-  command: "brew install {{ item.item }}"
-  loop: "{{ courseware_brew_checks.results }}"
-  when: item.rc != 0
-
-- name: Mark Ollama as installed by courseware on macOS
-  file:
-    path: "{{ courseware_ollama_install_marker }}"
-    state: touch
-    mode: "0644"
-  when:
-    - courseware_brew_checks.results
-      | selectattr('item', 'equalto', 'ollama')
-      | selectattr('rc', 'ne', 0)
-      | list
-      | length > 0

ansible/roles/packages/tasks/main.yml

@@ -1,8 +1,3 @@
-- name: Install macOS prerequisites
-  include_tasks: macos.yml
-  when: ansible_system == "Darwin"
-
 - name: Install Linux prerequisites
   include_tasks: linux.yml
   when: ansible_system == "Linux"
-

ansible/roles/preflight/tasks/main.yml

@@ -1,56 +1,14 @@
 - name: Classify supported host profile
   set_fact:
-    courseware_is_macos: "{{ ansible_system == 'Darwin' }}"
     courseware_is_linux: "{{ ansible_system == 'Linux' }}"
     courseware_is_wsl: "{{ 'microsoft' in ansible_kernel | lower or 'wsl' in ansible_kernel | lower }}"
     courseware_is_native_linux: "{{ ansible_system == 'Linux' and not ('microsoft' in ansible_kernel | lower or 'wsl' in ansible_kernel | lower) }}"
-    courseware_host_profile: "{{ 'macos' if ansible_system == 'Darwin' else ('wsl' if ('microsoft' in ansible_kernel | lower or 'wsl' in ansible_kernel | lower) else ('native-debian-ubuntu' if ansible_system == 'Linux' and ansible_os_family == 'Debian' else 'unsupported')) }}"
+    courseware_host_profile: "{{ 'wsl' if ansible_system == 'Linux' and ('microsoft' in ansible_kernel | lower or 'wsl' in ansible_kernel | lower) else ('native-debian-ubuntu' if ansible_system == 'Linux' and ansible_os_family == 'Debian' else 'unsupported') }}"
 
 - name: Fail on unsupported operating systems
   fail:
-    msg: "Supported platforms are Apple Silicon macOS and Debian-family Linux/WSL."
-  when: ansible_system not in ["Darwin", "Linux"]
-
-- name: Fail on unsupported macOS architecture
-  fail:
-    msg: "This installer supports Apple Silicon Macs only."
-  when:
-    - ansible_system == "Darwin"
-    - ansible_architecture not in ["arm64", "aarch64"]
-
-- name: Fail on undersized macOS systems
-  fail:
-    msg: "This courseware assumes a modern Apple Silicon Mac with at least 16 GB of unified memory."
-  when:
-    - ansible_system == "Darwin"
-    - (ansible_memtotal_mb | int) < 16000
-
-- name: Check for Xcode command line tools
-  command: xcode-select -p
-  register: courseware_xcode_select
-  changed_when: false
-  when: ansible_system == "Darwin"
-
-- name: Check for Homebrew
-  command: which brew
-  register: courseware_brew_check
-  changed_when: false
-  failed_when: false
-  when: ansible_system == "Darwin"
-
-- name: Fail when Xcode command line tools are missing
-  fail:
-    msg: "Install Xcode Command Line Tools first with 'xcode-select --install'."
-  when:
-    - ansible_system == "Darwin"
-    - courseware_xcode_select.rc != 0
-
-- name: Fail when Homebrew is missing
-  fail:
-    msg: "Install Homebrew first from https://brew.sh/."
-  when:
-    - ansible_system == "Darwin"
-    - courseware_brew_check.rc != 0
+    msg: "Supported platforms are Debian-family Linux and WSL."
+  when: courseware_host_profile == "unsupported"
 
 - name: Fail on unsupported Linux family
   fail:
@@ -330,6 +288,5 @@
 
 - name: Set runtime binary defaults
   set_fact:
-    courseware_python_bin: >-
-      {{ '/opt/homebrew/opt/python@3.11/bin/python3.11' if ansible_system == 'Darwin' else '/usr/bin/python3' }}
+    courseware_python_bin: "/usr/bin/python3"
     courseware_ollama_bin: "ollama"

ansible/roles/transformerlab/tasks/main.yml

@@ -145,7 +145,7 @@
 
 - name: Determine Miniforge platform suffix
   set_fact:
-    courseware_transformerlab_miniforge_platform: "{{ 'Linux-x86_64' if ansible_system == 'Linux' and ansible_architecture == 'x86_64' else 'Linux-aarch64' if ansible_system == 'Linux' and ansible_architecture in ['aarch64', 'arm64'] else 'MacOSX-arm64' if ansible_system == 'Darwin' and ansible_architecture == 'arm64' else 'MacOSX-x86_64' if ansible_system == 'Darwin' and ansible_architecture == 'x86_64' else 'unsupported' }}"
+    courseware_transformerlab_miniforge_platform: "{{ 'Linux-x86_64' if ansible_system == 'Linux' and ansible_architecture == 'x86_64' else 'Linux-aarch64' if ansible_system == 'Linux' and ansible_architecture in ['aarch64', 'arm64'] else 'unsupported' }}"
 
 - name: Fail for unsupported Miniforge platform
   fail:
@@ -210,7 +210,7 @@
     elif [ "$accelerator" = "rocm" ]; then
       wheel_args+=(--index https://download.pytorch.org/whl/rocm6.4 --index-strategy unsafe-best-match)
       extra="rocm"
-    elif [ "{{ ansible_system }}" != "Darwin" ]; then
+    else
       wheel_args+=(--index https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match)
     fi
 

ansible/templates/runtime.env.j2

@@ -26,9 +26,8 @@ EMBEDDING_ATLAS_VENV="{{ courseware_venvs_dir }}/embedding-atlas"
 TTPS_DATASET_PATH="{{ courseware_datasets_dir }}/ttps_dataset.parquet"
 WIKI_TEST_RAW_PATH="{{ courseware_datasets_dir }}/wiki.test.raw"
 COURSEWARE_OLLAMA_BASE_URL="http://{{ courseware_url_host }}:{{ courseware_ports.ollama }}"
-COURSEWARE_LAB1_QWEN_MODEL_PATH="{{ courseware_lab1_qwen_local_path }}"
 COURSEWARE_LAB1_LLAMA_MODEL_PATH="{{ courseware_lab1_llama_local_path }}"
-COURSEWARE_LAB1_OLLAMA_MODEL_ALIAS="{{ courseware_lab1_qwen_model_alias }}"
+COURSEWARE_LAB1_OLLAMA_MODEL_ALIAS="{{ courseware_lab1_ollama_model_alias }}"
 UNSLOTH_BIN="{{ ansible_env.HOME }}/.local/bin/unsloth"
 PROMPTFOO_DIR="{{ courseware_promptfoo_dir }}"
 PROMPTFOO_BIN="{{ courseware_tools_dir }}/promptfoo/node_modules/.bin/promptfoo"
@@ -36,5 +35,4 @@ WIKI_DIR="{{ courseware_wiki_repo_dir }}"
 WIKI_RUNTIME_CONFIG_PATH="{{ courseware_wiki_runtime_config_path }}"
 LLAMA_CPP_BIN_DIR="{{ courseware_llama_cpp_bin_dir }}"
 KILN_LINUX_BIN="{{ courseware_apps_dir }}/kiln/Kiln"
-KILN_MAC_APP="{{ courseware_apps_dir }}/Kiln.app"
-KILN_LAUNCH_PATH="{% if ansible_system == 'Darwin' %}{{ courseware_apps_dir }}/Kiln.app{% else %}{{ courseware_apps_dir }}/kiln/Kiln{% endif %}"
+KILN_LAUNCH_PATH="{{ courseware_apps_dir }}/kiln/Kiln"

labctl

@@ -84,8 +84,8 @@ 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 Q4 and Q6 Gemma 4 E2B
-- A pre-registered Lab 1 Ollama model (requires Ollama ${min_ollama}+)
+- Pre-pulled Gemma 4 E2B Ollama models for Lab 1 and Lab 2
+- Lab 1 confidence support through Gemma 4 E2B Q4 (requires Ollama ${min_ollama}+)
 
 IT IS RECOMMENDED TO RUN THIS IN AN ISLOATED ENVIRONMENT (Dedicated WSL, VM, etc.)
 
@@ -109,8 +109,8 @@ 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 Q4 and Q6 Gemma 4 E2B
-- A pre-registered Lab 1 Ollama model (requires Ollama ${min_ollama}+)
+- Pre-pulled Gemma 4 E2B Ollama models for Lab 1 and Lab 2
+- Lab 1 confidence support through Gemma 4 E2B Q4 (requires Ollama ${min_ollama}+)
 
 IT IS RECOMMENDED TO RUN THIS IN AN ISLOATED ENVIRONMENT (Dedicated WSL, VM, etc.)
 
@@ -132,29 +132,16 @@ host_is_wsl() {
   [ "$(uname -s)" = "Linux" ] && uname -r | grep -qiE 'microsoft|wsl'
 }
 
-host_is_macos() {
-  [ "$(uname -s)" = "Darwin" ]
-}
-
 host_is_linux() {
   [ "$(uname -s)" = "Linux" ]
 }
 
-host_is_arm_mac() {
-  host_is_macos && [ "$(uname -m)" = "arm64" ]
-}
-
 host_profile() {
   if host_is_wsl; then
     printf '%s\n' "wsl"
     return
   fi
 
-  if host_is_macos; then
-    printf '%s\n' "macos"
-    return
-  fi
-
   if host_is_linux && host_is_debian_family; then
     printf '%s\n' "native-debian-ubuntu"
     return
@@ -299,7 +286,6 @@ Python 3 was not found.
 
 Install it first, then rerun this command:
 - Debian/Ubuntu/WSL: sudo apt update && sudo apt install -y python3 python3-venv
-- macOS: brew install python@3.11
 EOF
   exit 1
 }
@@ -401,7 +387,6 @@ Python 3 is installed, but its virtual environment support is still unavailable.
 
 Install the missing venv package for your platform, then rerun this command:
 - Debian/Ubuntu/WSL: sudo apt update && sudo apt install -y python3-venv python3-pip
-- macOS: brew reinstall python@3.11
 EOF
     exit 1
   fi

scripts/common.sh

@@ -28,9 +28,8 @@ load_runtime_env() {
   : "${WIKI_DIR:=$COURSEWARE_STATE_DIR/repos/LLM-Labs}"
   : "${WIKI_RUNTIME_CONFIG_PATH:=$WIKI_DIR/public/courseware-runtime.json}"
   : "${COURSEWARE_OLLAMA_BASE_URL:=http://$COURSEWARE_URL_HOST:$COURSEWARE_OLLAMA_PORT}"
-  : "${COURSEWARE_LAB1_QWEN_MODEL_PATH:=$COURSEWARE_STATE_DIR/models/lab1/Qwen3-0.6B-Q8_0.gguf}"
   : "${COURSEWARE_LAB1_LLAMA_MODEL_PATH:=$COURSEWARE_STATE_DIR/models/lab1/Llama-3.2-1B.Q4_K_M.gguf}"
-  : "${COURSEWARE_LAB1_OLLAMA_MODEL_ALIAS:=lab1-qwen3-0.6b-q8_0}"
+  : "${COURSEWARE_LAB1_OLLAMA_MODEL_ALIAS:=batiai/gemma4-e2b:q4}"
   : "${LLAMA_CPP_BIN_DIR:=$COURSEWARE_STATE_DIR/repos/llama.cpp/build/bin}"
 
   if [ -n "${OLLAMA_BIN:-}" ] && [[ "$OLLAMA_BIN" != */* ]] && command -v "$OLLAMA_BIN" >/dev/null 2>&1; then
@@ -149,11 +148,10 @@ service_command() {
         "$COURSEWARE_PROMPTFOO_PORT"
       ;;
     wiki)
-      printf 'cd "%s" && PATH="%s:$PATH" exec env COURSEWARE_OLLAMA_BASE_URL="%s" COURSEWARE_LAB1_QWEN_MODEL_PATH="%s" COURSEWARE_LAB1_LLAMA_MODEL_PATH="%s" COURSEWARE_LAB1_OLLAMA_MODEL_ALIAS="%s" "./node_modules/.bin/next" start --hostname %s --port %s' \
+      printf 'cd "%s" && PATH="%s:$PATH" exec env COURSEWARE_OLLAMA_BASE_URL="%s" COURSEWARE_LAB1_LLAMA_MODEL_PATH="%s" COURSEWARE_LAB1_OLLAMA_MODEL_ALIAS="%s" "./node_modules/.bin/next" start --hostname %s --port %s' \
         "$WIKI_DIR" \
         "$NODE_RUNTIME_BIN_DIR" \
         "$COURSEWARE_OLLAMA_BASE_URL" \
-        "$COURSEWARE_LAB1_QWEN_MODEL_PATH" \
         "$COURSEWARE_LAB1_LLAMA_MODEL_PATH" \
         "$COURSEWARE_LAB1_OLLAMA_MODEL_ALIAS" \
         "$COURSEWARE_BIND_HOST" \

scripts/service_manager.sh

@@ -367,14 +367,6 @@ EOF
 }
 
 open_kiln() {
-  local host_os
-
-  host_os=$(uname -s)
-  if [ "$host_os" = "Darwin" ] && [ -d "$KILN_MAC_APP" ]; then
-    open "$KILN_MAC_APP"
-    return 0
-  fi
-
   if [ -x "$KILN_LINUX_BIN" ]; then
     nohup "$KILN_LINUX_BIN" >/dev/null 2>&1 &
     echo "started Kiln from $KILN_LINUX_BIN"