WizardCoder 33B Python local setup guide.
Large local coding model for Python-heavy work on high-memory machines. Architecture: dense transformer. Best for: Python-heavy local experimentation; high-memory personal research setups. Avoid if: commercial usage is required; hardware has less than 32GB RAM or 20GB VRAM. Cloud fallback: Use a commercial-friendly cloud or local alternative for team delivery. Hardware requirements start at 32GB RAM and 20GB VRAM, with 48GB RAM and 24GB 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 wizardcoder:33b-python. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=wizardcoder%3A33b-python, Save model profile, or Generate free model report after login.