DeepSeek Coder 33B local setup guide.
Large DeepSeek coding model for high-memory local experimentation. Architecture: dense transformer. Best for: large local coding experiments; Python and general coding assistance on 24GB GPUs. Avoid if: hardware has less than 32GB RAM or 20GB VRAM; license status is not reviewed. Cloud fallback: Use cloud fallback when local speed or license review is insufficient. 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 deepseek-coder:33b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=deepseek-coder%3A33b, Save model profile, or Generate free model report after login.