Get Qwen3 running locally with one command. This skill detects your system, recommends the optimal model size, and handles the entire installation.
Qwen3 is a state-of-the-art open model that runs well on consumer hardware:
- Efficient: Multiple sizes from 0.6B to 32B parameters
- Capable: Excellent reasoning, coding, and instruction following
- MoE option: 30B-A3B uses mixture-of-experts for efficiency
- Well-supported: First-class ollama support
Install the qwen3 skill from https://github.com/getaifs/qwen3-skill
git clone https://github.com/getaifs/qwen3-skill.git ~/.claude/skills/qwen3# 1. Check your system
python3 ~/.claude/skills/qwen3/setup.py status
# 2. Install (auto-detects best model for your hardware)
python3 ~/.claude/skills/qwen3/setup.py install
# 3. Use it!
ollama run qwen3:8b "Hello!"- Detects your platform: macOS, Linux, or WSL2
- Checks your memory: RAM and VRAM (for NVIDIA GPUs)
- Recommends a model: Based on what your system can handle
- Installs ollama: Via Homebrew (macOS) or official installer (Linux)
- Pulls the model: Downloads and sets up Qwen3
- Verifies it works: Runs a test prompt
| Platform | GPU Support | Installation Method |
|---|---|---|
| macOS (Apple Silicon) | Unified Memory | Homebrew |
| macOS (Intel) | CPU only | Homebrew |
| Linux | NVIDIA CUDA | Official installer |
| WSL2 | NVIDIA passthrough | Official installer |
The script automatically recommends a model based on your available memory:
| Available Memory | Recommended Model |
|---|---|
| 4 GB | qwen3:0.6b |
| 8 GB | qwen3:4b |
| 16 GB | qwen3:8b |
| 32 GB | qwen3:14b |
| 48 GB+ | qwen3:30b-a3b or qwen3:32b |
Override with --model:
python3 ~/.claude/skills/qwen3/setup.py install --model qwen3:8b# Check system and current status
python3 ~/.claude/skills/qwen3/setup.py status
# Full installation (recommended)
python3 ~/.claude/skills/qwen3/setup.py install
# Install specific model
python3 ~/.claude/skills/qwen3/setup.py install --model qwen3:14b
# Pull model only (ollama must be running)
python3 ~/.claude/skills/qwen3/setup.py pull
# Verify Qwen3 is working
python3 ~/.claude/skills/qwen3/setup.py verify==================================================
QWEN3 SETUP - System Status
==================================================
Platform: macos (Apple Silicon)
RAM: 48.0 GB
Recommended model: qwen3:30b-a3b
Parameters: 30B-A3B (MoE)
Memory needed: 18.0 GB
Model options:
✓ qwen3:0.6b (0.6B ) - 0.8 GB
✓ qwen3:1.7b (1.7B ) - 1.5 GB
✓ qwen3:4b (4B ) - 3.0 GB
✓ qwen3:8b (8B ) - 5.5 GB
✓ qwen3:14b (14B ) - 9.5 GB
✓ qwen3:32b (32B ) - 20.0 GB
✓ qwen3:30b-a3b (30B-A3B (MoE)) - 18.0 GB
Ollama installed: Yes
Ollama running: Yes
Qwen models: qwen3:8b
--------------------------------------------------
Status: READY ✓
Qwen3 is installed and ready to use.
This skill provides the local LLM foundation for:
- facts-from-openai - Extract personal facts from ChatGPT exports
- local-llm - Privacy-preserving document processing
- Python 3.8+
- macOS, Linux, or WSL2
- Internet connection (for downloading ollama and model)
- Sufficient RAM/VRAM for your chosen model size
MIT License - See LICENSE for details.