Code Llama 7B local setup guide.
Classic local code model for baseline coding and comparison pages. Architecture: Llama code transformer. Best for: baseline local code generation; comparison against newer coding models. Avoid if: you need current best local coding quality; you need long context repo work. Cloud fallback: Use newer local coding models or cloud for complex coding tasks. 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 codellama:7b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=codellama%3A7b, Save model profile, or Generate free model report after login.