DeepSeek Coder 6.7B local setup guide.

Capable coding model trained on code and natural language for consumer hardware. Architecture: dense transformer. Best for: alternative local coding assistant; consumer GPU coding experiments. Avoid if: license review is required before team use; you need stronger current coding models. Cloud fallback: Use cloud or newer local coding models for complex refactors. Hardware requirements start at 8GB RAM and 5GB VRAM, with 12GB RAM and 8GB 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:6.7b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=deepseek-coder%3A6.7b, Save model profile, or Generate free model report after login.

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