Qwen 2.5 Coder 14B local setup guide.
Higher quality Qwen coding model for 32GB Mac and 16GB+ GPU setups. Architecture: dense transformer. Best for: quality local coding on 32GB unified memory; larger single-file and repo assistance. Avoid if: you only have 16GB RAM; you need fast CPU-only responses. Cloud fallback: Use cloud fallback for long autonomous coding runs. Hardware requirements start at 16GB RAM and 10GB VRAM, with 24GB RAM and 12GB VRAM recommended. Quant recommendations include Q4_K_M on Ollama. Runtime notes: Ollama: Works on macOS, Windows, and Linux; GPU acceleration depends on local driver support.. Setup commands: Ollama: ollama pull qwen2.5-coder:14b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=qwen2.5-coder%3A14b, Save model profile, or Generate free model report after login.