DeepSeek Coder V2 local setup guide.
Larger coding model for higher quality local code generation on stronger hardware. Architecture: mixture-of-experts transformer. Best for: higher-quality local coding on stronger GPUs; quality stretch recommendations. Avoid if: commercial license status is not reviewed; available RAM or VRAM is tight. Cloud fallback: Keep cloud fallback for high-stakes code changes and unresolved license-sensitive team use. Hardware requirements start at 14GB RAM and 12GB VRAM, with 24GB RAM and 16GB 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-v2. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=deepseek-coder-v2, Save model profile, or Generate free model report after login.